Model: sithot28/distilroberta-ai-job-embeddings
Author: sithot28
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:943, loss:MultipleNegativesRankingLoss, arxiv:1908.10084, arxiv:1705.00652, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:943, loss:MultipleNegativesRankingLoss
widget: source_sentence: Machine Learning Engineer, E-Commerce
sentences: Senior MLOPS Engineer (LLM)Remote – Eastern Time Zone$180,000 - $200,000
THE COMPANYHarnham is currently partnered with a data driven fintech company that is spreading innovation across the construction industry. Their founding team comes from big tech organizations (LinkedIn, Uber, SpaceX) where they have successfully built and deployed software into the construction space.The ideal candidate will have a proven track record of leveraging machine learning and artificial intelligence to drive business insights and improve operational efficiency and a high level individual contributor.
THE ROLE· Build efficient and scalable model pipelines· Lead creation and growth phases for models both currently in process and ones already in production· Find gaps in the market where there is room for growth or experimentation· Optimize data infrastructure with current and new data · Collaborate with leadership team and C-Suite to identify opportunities for growth and innovation within data & analytics
YOUR SKILLS AND EXPERIENCE· Prior experience within hyper growth start up environment or construction industry· Extensive LLM experience necessary· Experience working with an array of models (recommendation models, NLP, LLM, search) in an full end -to-end setting, seeing the models through deployment· Proven success driving a project 0-1, from ideation through deployment· RAG experience is a plus· Currently working with large unstructured data sets· Bachelors or Masters in STEM field ; computer science, engineering, mathematics· Proficiency and experience within PowerBI, Python, SQL, Microsoft Dataverse

BENEFITSAs a Senior MLOPS Engineer, you can expect to earn up to $200,000 (depending on experience), highly competitive benefits and equity.
HOW TO APPLYPlease register your interest by sending your Resume to Grace McCarthy via the Apply link on this page
KEYWORDSMachine Learning | MLOPS | LLM | AI | Python | SQL | Deep Learning | Data Modeling | RAG | NLP | Start Up | Recommendation Systems, Lume Consulting Group, a Sacramento-based IT consulting company, is seeking a skilled Data Analyst for a project with one of our California State clients. Candidates should have experience in IT projects supporting governmental agencies. 
Mandatory Qualifications:Must have a minimum of two (2) years of experience as a data analyst or in other quantitative analysis or engineering disciplines, such as researcher, data engineer or Business Intelligence analyst.Must possess a bachelor’s degree.
Additional Qualifications: minimum of two (2) years of experience with Data quality management tools such as Experian Aperture Studio.A minimum of two (2) years of experience developing data quality goals, metrics, and key performance indicators.
, Responsibilities

 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. 

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. 
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. 
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. 
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. 
Join us.

About the Teams

By submitting your application to this position, you will have chance to join one of the R&D teams listed below. 

E-commerce - Recommendation and Marketing 
E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and research scientists that focus on E-commerce recommendations. We are responsible for building up and scaling our recommendation system to provide the most stable and best shopping experience for our TikTok users. 

E-commerce - Alliance 
The E-commerce Alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

E-commerce - Search
The Search E-Commerce team is responsible for the search algorithm for TikTok's rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where "there is no hard-to-sell good-priced product in the world".

E-commerce - Search Growth 
The Search Growth E-commerce team is at the forefront of developing the search recommendation algorithm for TikTok's rapidly expanding global e-commerce enterprise. Utilizing cutting-edge machine learning technology, advanced NLP, CV, recommendation, and multi-modal technology, we're shaping a pioneering engine within the industry. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide. Our mission: to create a world where "there are no hard-to-sell, overpriced products."

What You Will Do
- Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as query analysis, retrieval, ranking and correlation calculations, and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, creator add/post product rate, etc.
- Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user queries to empower the merchant side and improve the overall matching ability of the platform
- Support the rapid development of TikTok's e-commerce business, serve millions of buyers and sellers, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development 

Qualifications

 Qualifications
- Bachelor above degree in computer science or relevant areas.
- 3+ years of experience with a solid foundation in data structure and algorithm design, and be proficient in using one of the programming languages such as Python, Java, C++, R, etc.;
- Familiar with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms;
- Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details,as well as the training acceleration methods such as mixed precision training and distributed training;
- Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferred

Preferred Qualifications:
- Experience in recommendation systems, online advertising, ranking, search, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields.
- Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2 

Job Information:

【For Pay Transparency】Compensation Description (annually) The base salary range for this position in the selected city is $145000 - $355000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees: We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care. Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability. We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice., source_sentence: AI/ML GenAI Engineer
sentences: Position: AI/ML GenAI EngineerLocation: Irving, TX (Onsite)Duration: Full-time
Job Description:•Designing, developing, and implementing generative AI models and algorithms.•Models and algorithms are used to create new data samples, patterns, or content based on existing data or inputs.•Strong understanding of machine learning and deep learning principles and algorithms.•Preferable Certification in Microsoft Azure AI, Generative AI Google Cloud etc.•Expertise In Core Python.•Road to Data Science.•Machine Learning and AI experience.•Deep Learning.•Preferable experience/certification in Automation tools like Xceptor, Appian or KNIME., Job Title: Gen AI Cloud Engineer - Azure API Gateway Specialist
Job Description:We are seeking a highly skilled Gen AI Cloud Engineer with specialized expertise in Azure API Gateway to join our team. In this role, you will play a pivotal role in designing, implementing, and managing API Gateway solutions on the Azure platform, enabling seamless communication between our AI applications and external systems. The ideal candidate will have a strong background in Azure API Gateway, along with experience in DevOps, ML, MLOps, Big Data, Python, integration, and deployment methodologies.
Expertise in provisioning AI resources on the Azure platform (or GCP). The ideal candidate will have extensive experience in deploying and managing AI/ML solutions while adhering to enterprise security standards.
GenAI architecture and other cloud providers' AI/ML offerings is highly desirable.

Key Responsibilities:
Design, implement, and manage API Gateway solutions on the Azure platform, ensuring security, scalability, and performance.Optimize Azure API Gateway configurations for efficient data transfer and minimal latency, leveraging caching, compression, and other techniques as needed.Integrate Azure API Gateways with data pipelines and AI applications, enabling seamless data flow and real-time processing.Automate deployment processes and ensure the reliability and availability of Azure API Gateway solutions.
Provision and automate cloud infrastructure/platforms to support AI resources on Azure (or other cloud providers like GCP), including AI/ML Studio, Cognitive APIs, Azure Open AI, API Manager, Vector Store, Azure Databricks, and CPU/GPU compute clusters.Provide platform engineering support for AI/ML solutions, including IAAS, PAAS, and SAAS enablement.Ensure scalability, availability, and reliability of AI/ML solutions through robust architecture and infrastructure design.Implement multi-region deployments to optimize performance and redundancy.Collaborate with cross-functional teams to define and implement infrastructure for GenAI architecture principles, including RAG, LLM's, and data pipelines.Implement and maintain service reliability engineering (SRE) practices to enhance system resilience and availability.Stay up to date with the latest advancements in cloud technologies, AI/ML algorithms, and security best practices.Communicate effectively with stakeholders to gather requirements, provide updates, and address technical concerns.Provide basic samples to the teams on using the provisioned services.
Requirements:Bachelor’s degree in computer science, Engineering, or related field.Proven experience as a Cloud Engineer or similar role, with a focus on AI/ML solutions.Strong proficiency in provisioning and automating cloud infrastructure/platforms especially AI resources on the Azure platform.Experience with IAAS, PAAS, and SAAS enablement on the Azure platform.Experience with GenAI architecture principles, including RAG, LLM's, and data pipelines.Solid understanding of data safety and security standards implementation.Familiarity with other cloud providers' AI/ML offerings is an added advantage.Excellent communication skills and ability to collaborate effectively in a team environment.Analytical mindset with a strong attention to detail.


Thanks & RegardsUtsavManagerChabezTech LLC4 Lemoyne Dr #102, Lemoyne, PA 17043, USADirect : +1-717-441-5440Email: utsav@chabeztech.com | www.chabeztech.com, As our Data Engineer, you will function as a consultant between our technology unit and other business units to understand their challenges. You’ll ask questions and present ideas that enable them to solve those data problems with code. Our team is 100% remote, except for travel 2 days a month for team meetings.

To thrive in this role, you must understand how to query and process large data sets or more, ideally in SQL. You must also have strong functional knowledge of at least 1 programming language like Python. Be prepared to share an example of how you have worked with multiple tables to develop a solution to a business problem (real or hypothetical for more junior candidates).

What You’ll Do

Every day you will begin with a set of technical specifications to begin coding & supporting solutions to issues across the business. Our team’s success isn’t just implementing the code but seeing that those insights are implemented by the business, and they have the necessary tools to accomplish the goal. More senior Data Scientists will write these technical specifications while junior applicants are doing the work to translate specs into functional code.Ask questions and do quality testing to understand if the solution meets the objectives of the business or the goal we set for the business. You will work side-by-side with the business to make sure it works as expected, not just as designed.

What You’ll Need

To thrive in this role, you must have a passion for problem-solving using data. Your experience in querying the high volumes of data and doing the data analysis must inform how you design solutions that align with the business objectives.Advanced proficiency with SQL and programming languages such as Python and Spark is a must.Experience with HadoopExperience with data integration from different sources into Big Data systems is preferable.Experience optimizing data pipelines, architecture, and datasets.Knowledge of cloud technologies like AWS is preferable but not required.Experience quality testing and coding. These solutions will deploy across products that are important to our customers and the business. They must be high-quality and functional.A willingness to collaborate. Our best work is done when we work together - either with non-technical or technical leads. You should be interested in learning from others regardless of their role in the organization.You have worked previously with an Agile team or understand these concepts. You expect to participate in daily standup meetings, you’ll complete your projects or stories during our sprints, and you’ll be ready to meet frequent deployment deadlines.

The starting pay range for this position is:

$104,400.00 - $139,200.00

Additionally, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance.

Remarkable benefits:

 Health coverage for medical, dental, vision 401(K) saving plan with company match AND Pension Tuition assistance PTO for community volunteer programs Wellness program Employee discounts

Auto Club Enterprises is the largest federation of AAA clubs in the nation. We have 14,000 employees in 21 states helping 17 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1902, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.

“Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”

AAA is an Equal Opportunity Employer

The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

, source_sentence: Tibco Spotfire Data Analyst
sentences: Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and delivery platform using a logical approach to enable self- service BI, data science, hybrid/multi-cloud data integration, and enterprise data services. Realizing more than 400% ROI and millions of dollars in benefits, Denodo’s large enterprise and mid-market customers across 30+ industries have received payback in less than 6 months. For more information, visit www.denodo.com .

We are a fast-growing, international organization with teams across four continents and we work with a cutting-edge technology, but that's not all we have to offer. At Denodo, we are like a family and it is of the utmost importance to us that we help support your professional growth every step of the way

Job Description

Denodo Technologies, Inc. is seeking an Associate Data Engineer in Chicago, IL to assist our clients and partners to realize their full potential through accelerated adoption and productive use of Denodo’s Data Virtualization capability to provide modern solutions for agile data delivery to empower people.

Job Responsibilities & Duties

Assist our clients and partners to realize their full potential through accelerated adoption and productive use of Denodo’s Data Virtualization capability to provide modern solutions for agile data delivery to empower people.Education, coaching and support during the introduction as well as ongoing projects of the Denodo Platform to achieve high level of client satisfaction.Diagnose and resolve client’s inquiries related to operating Denodo software products in their environment.Participate in problem escalation and call prevention projects to help clients and other technical specialists increase their efficiency when using Denodo products.Contribute to knowledge management activities and promote best practices for project execution.Implement product demos and pilots to showcase Data Virtualization in enterprise scenarios, cloud deployments and Big Data projects.Provide timely, prioritized and complete customer-based feedback to Product Management, Sales, Support and/or Development regarding client’s business cases, requirements and issues.

We Require

Desired Skills & Experience

Bachelor’s Degree in Computer Science, Information Systems, or a related field (or foreign equivalent)Demonstrated ability in SQL, relational and analytical database management, Java software development, JDBC, XML, Web Services APIs, and with version control systems.

Denodo is an equal opportunity employer and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by applicable law. Denodo will provide reasonable accommodation to employees who have protected disabilities in accordance with applicable law.

We do not accept resumes from headhunters or suppliers that have not signed a formal fee agreement. Therefore, any resume received from an unapproved supplier will be considered unsolicited, and we will not be obligated to pay a referral fee., Job Title: Tibco Spotfire Data AnalystLocation: Cincinnati,OhioDuration: 6+ months
Job Description
Mandatory Skill : TIBCO Spotfire, SQL, Redshift.
Required Skill's :
5+ years of experience in ITCollaborate with local business users to understand business processes, gather technical requirements, design, develop, perform testing and support analytical solutions using TIBCO Spotfire, SQL, HTML, Redshift etc.Research, recommend, develop, train functional groups on reportingEnd to end implementation experience in building analytical solutions using data visualization tools like TIBCO Spotfire.Proficient in SQL and ability to design efficient queries with a focus on high performing solutions.Strong knowledge of Spotfire Iron python for customization and enhanced UI design.Ideal candidates need to have at least the top 3 skills of strong TIBCO Spotfire, SQL experience, AWS Redshift (at least 5+ years of Spotfire & SQL) Coordinate with teams for UAT and prod deployment, Job Number: R0195309

Generative AI Engineer, Senior

The Opportunity: 

As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support a variety of high-impact missions across sectors and domains. As an Generative AI Engineer, you’ll train, test, deploy, and maintain models that learn from data.

In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define ML strategy for our firm and our clients.

Join us. The world can’t wait.

You Have:  

4+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analyticsExperience with Generative AI modelingExperience with software and AI projectsExperience with the Python programming languageExperience with project work in deep learning, computer vision, generative AI, NLP, or chatbot developmentKnowledge of modern software design patterns, including microservice design or edge computingAbility to obtain a security clearanceBachelor's degree 


Nice If You Have:  

Experience with embedded systems programming in C, C++, or RustExperience with frameworks such as Hugging Face, LangChain, AutoGPT, or AgentGPTExperience with GPU programming, including CUDA or RAPIDsExperience with modern Cloud computing technologies, including Docker and KubernetesAbility to gather requirements from customers and lead Agile teamsMaster's degree


Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time.

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.

Your Candidate Journey

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model

Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.


EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law., source_sentence: (Senior) Bioinformatics Data Engineer, Translational and Quantitative Sciences Data Engineering
sentences: Job Title: Entry Level Business Analyst / Product Owner U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are able to sponsor at this time.We are a US equal employment opportunity employer. Job Description:Entry Level expertise in gathering, analyzing, and documenting business requirements. If you do not have experience as a Business Analyst or Product Owner, you will be put through a training & Internship program.Experience in Requirement Gathering, Agile methodology, writing user stories, and building and planning roadmaps.Experience in preparing functional and detailed system design documentsDemonstrate expertise with SDLC methodologyAbility to communicate effectively across multiple levels of the organization, including with leadership.Demonstrated leadership, initiative, analytical skills, and sound business acumen, including the ability to understand and analyze recommendationsExperience with all phases of testing (i.e., system, integration, user acceptance), including creating use cases, test conditions, and review of output.Must be able to adjust and work effectively in a dynamic, changing environmentOther:Master’s Degree.We sponsor H1B or related work visas for eligible candidates on F1/OPT/CPT.We offer health insurance 100% paid.We follow equal employment opportunity., At Genmab, we’re committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases. From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.

The Role

The successful candidate will contribute to the mission of the global data engineering function and be responsible for many aspects of data including creation of data-as-a-product, architecture, access, classification, standards, integration, and pipelines. Although your role will involve a diverse set of data-related responsibilities, your key focus will be on the creation of bioinformatics pipelines to process bulk and single cell genomics and transcriptomics data for the enablement and downstream interpretation of Translational and Quantitative Sciences functions, including Data Science, Translational Medicine, Precision Medicine, and Translational Research. You will have a balance of subject matter expertise in life science data, terminology and processes and technical expertise for hands-on implementation. You will be expected to create workflows to standardize and automate data, connect systems, enable tracking of data, implement triggers and data cataloging. With your experience in the Research domain, you will possess knowledge of diverse assay types such as IHC, flow cytometry, cytokine data, but specialize in genomics and transcriptomics. Your ultimate goal will be to place data at the fingertips of stakeholders and enable science to go faster. You will join an enthusiastic, agile, fast-paced and explorative global data engineering team.

We have a hybrid model that requires being onsite in Princeton, NJ 60% of the time.

Responsibilities

Design, implement and manage ETL data pipelines that process and transform vast amounts of scientific data from public, internal and partner sources into various repositories on a cloud platform (AWS)Incorporate bioinformatic tools and libraries to the processing pipelines for omics assays such as DNASeq, RNASeq, or proteomicsEnhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools such as Step Functions, Airflow, or Databricks WorkflowsImplement and maintain bespoke databases for scientific data (RWE, in-house labs, CRO data) and consumption by analysis applications and AI productsInnovate and advise on the latest technologies and standard methodologies in Data Engineering and Data Management, including recent advancements with GenAI, and latest bioinformatics tools and techniques in RNA sequencing analysisManage relationships and project coordination with external parties such as Contract Research Organizations (CRO) and vendor consultants / contractorsDefine and contribute to data engineering practices for the group, establishing shareable templates and frameworks, determining best usage of specific cloud services and tools, and working with vendors to provision cutting edge tools and technologiesCollaborate with stakeholders to determine best-suited data enablement methods to optimize the interpretation of the data, including creating presentations and leading tutorials on data usage as appropriateApply value-balanced approaches to the development of the data ecosystem and pipeline initiativesProactively communicate data ecosystem and pipeline value propositions to partnering collaborators, specifically around data strategy and management practicesParticipate in GxP validation processes

Requirements

BS/MS in Computer Science, Bioinformatics, or a related field with 5+ years of software engineering experience (8+ years for senior role) or a PhD in Computer Science, Bioinformatics or a related field and 2+ years of software engineering experience (5+ years for senior role)Excellent skills and deep knowledge of ETL pipeline, automation and workflow managements tools such as Airflow, AWS Glue, Amazon Kinesis, AWS Step Functions, and CI/CD is a mustExcellent skills and deep knowledge in Python, Pythonic design and object-oriented programming is a must, including common Python libraries such as pandas. Experience with R a plusExcellent understanding of different bioinformatics tools and databases such as STAR, HISAT2, DESeq2, Seurat and how they’re used on different types of genomic and transcriptomic data such as single cell transcriptomicsSolid understanding of modern data architectures and their implementation offerings including Databricks’ Delta Tables, Athena, Glue, Iceberg, and their applications to Lakehouse and medallion architectureExperience working with clinical data and understanding of GxP compliance and validation processesProficiency with modern software development methodologies such as Agile, source control, project management and issue tracking with JIRAProficiency with container strategies using Docker, Fargate, and ECRProficiency with AWS cloud computing services such as Lambda functions, ECS, Batch and Elastic Load Balancer and other compute frameworks such as Spark, EMR, and Databricks

For US based candidates, the proposed salary band for this position is as follows:

$114,375.00---$190,625.00

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as bonuses.

About You

You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatmentYou bring rigor and excellence to all that you do. You are a fierce believer in our rooted-in-science approach to problem-solvingYou are a generous collaborator who can work in teams with diverse backgroundsYou are determined to do and be your best and take pride in enabling the best work of others on the teamYou are not afraid to grapple with the unknown and be innovativeYou have experience working in a fast-growing, dynamic company (or a strong desire to)You work hard and are not afraid to have a little fun while you do so

Locations

Genmab leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories. Whether you’re in one of our collaboratively designed office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics. For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates. To help develop and deliver novel antibody therapies to patients, Genmab has formed 20+ strategic partnerships with biotechnology and pharmaceutical companies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO™) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with locations in Utrecht, the Netherlands, Princeton, New Jersey, U.S. and Tokyo, Japan.

Our commitment to diversity, equity, and inclusion

We are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success. No applicant shall be discriminated against or treated unfairly because of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information. Learn more about our commitments on our website.

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website https://www.genmab.com/privacy.

Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the fixed-term employment contract., Looking for an AWS Data analyst with experience with the following technologies.
Quicksite Data VisualizationSQL Data Warehousing toolsData Dashboard OrganizationAWS Data Tools
This is a contract-to-hire position, looking for folks onsite in Aurora, Illinois for 2-3 days a week., source_sentence: Financial Data Analyst
sentences: Machine Learning Engineer - Remote - Competitive Salary + Bonus + Benefits
DescriptionAre you passionate about machine learning and interested in working in the fast-paced information technology and services industry? We are seeking a talented Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a key role in driving innovation and creating solutions that leverage machine learning algorithms. You will collaborate with our team of talented software developers to enhance our existing products and develop new cutting-edge solutions. If you have a strong technical background, a knack for problem-solving, and a passion for transforming data into actionable insights, we would love to hear from you.
ResponsibilitiesDevelop and implement machine learning models and algorithms for various applicationsAnalyze and process large, complex datasets to extract valuable insightsCollaborate with cross-functional teams to understand business requirements and deliver innovative solutionsPerform data cleaning, preprocessing, and feature engineering to improve model performanceOptimize and fine-tune machine learning models for scalability and efficiencyEvaluate and improve existing ML algorithms, frameworks, and toolkitsStay up-to-date with the latest trends and advancements in the field of machine learning
RequirementsBachelor's degree in Computer Science, Engineering, or a related fieldStrong knowledge of machine learning algorithms and data modeling techniquesProficiency in Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnExperience with big data technologies such as Hadoop, Spark, or Apache KafkaFamiliarity with cloud computing platforms such as AWS or Google CloudExcellent problem-solving and analytical skillsStrong communication and collaboration abilitiesAbility to work effectively in a fast-paced and dynamic environment, About GameChanger:We believe in the life-changing impact youth sports have on and off the field because they encourage leadership, teamwork, responsibility, and confidence—important life lessons that have the power to propel our youth toward meaningful futures. We recognize that without coaches, parents, and volunteers, organized youth sports could not exist. By building the first and best place to experience the youth sports moments important to our community, we are helping families elevate the next generation through youth sports.
So if you love sports and their community-building potential, or building cool products is your sport, GameChanger is the team for you. We are a remote-first, dynamic tech company based in New York City, and we are solving some of the biggest challenges in youth sports today.
The Position:We are looking for a Senior Data Engineer to lead our data governance and security efforts. This role sits on the Core Data Team, which is focused on delivering high-quality data and tooling on a reliable and scalable platform. You’ll work closely with your Core Data and Platform Engineering colleagues to enhance the discoverability and accessibility of our data while ensuring compliance with GameChanger and industry standards and regulations. The solutions you build will benefit everyone including Analysts, Product Managers, Marketers, Developers, Executives, Coaches, Players, and Parents!
What You’ll Do:Design and build Data Governance services, systems, and product features to classify data, track data lineage and provenance, secure its access and audit its usageUtilize Python, SQL, GitHub, Airflow, Snowflake, and DBT to build data integration workflows and observability tools.Collaborate within the Core Data team to develop, update and maintain secure data infrastructure, including designing and implementing data pipelines, ETL processes, and data access controlsCollaborate with Platform and Security teams to achieve compliance with internal cybersecurity standards (inspired by NIST) throughout the governance lifecycle, including conducting regular audits and risk assessmentsLead efforts to identify and mitigate potential vulnerabilities and security risks within data systems and infrastructureLead supporting data initiatives, providing insights and guidance on data governance, security and complianceStay updated with the latest industry trends, tools, and technologies related to data governance and security and compliance, and make recommendations for process improvements and enhancementsShare your knowledge through technical documentation, code reviews, and mentoring
Who You Are:5+ years of software development experience, preferably as a data or backend engineer focused on the data governance and/or security spaceExperience with a data governance platform like DataHub or homegrown equivalentExpertise in Python and/or Spark for the processing of dataExpertise with data warehouse management in SnowflakeExperience with containers and orchestration toolsProven experience with cloud security primitives in AWS such as IAM and Security GroupsStrong experience with version control systems like GitHub and working collaboratively in a team environmentExcellent communication and collaboration skills, with the ability to work effectively across cross-functional teamsDrive to help others learn and improve themselves as engineersEvangelist for adopting robust data governance and security practices across the company
Bonus Points:Experience with privacy compliance and regulationsExperience working with Kafka, Scala, Typescript and Node.jsExperience with IaC tools like TerraformExperience with Github Actions, DataDogExperience with dbt and Airflow

Perks:Work remotely throughout the US* or from our well-furnished, modern office in Manhattan, NY.Unlimited vacation policy.Paid volunteer opportunities.WFH stipend - $500 annually to make your WFH situation comfortable.Snack stipend - $60 monthly to have snacks shipped to your home office.Full health benefits - medical, dental, vision, prescription, FSA/HRA., and coverage for family/dependents.Life insurance - basic life, supplemental life, and dependent life.Disability leave - short-term disability and long-term disability.Retirement savings - 401K plan offered through Vanguard, with a company match.Company paid access to a wellness platform to support mental, financial and physical wellbeing.Generous parental leave.DICK’S Sporting Goods Teammate Discount.
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The target salary range for this position is between $150,000 and $190,000. This is part of a total compensation package that includes incentive, equity, and benefits for eligible roles. Individual pay may vary from the target range and is determined by several factors including experience, internal pay equity, and other relevant business considerations. We constantly review all teammate pay to ensure a great compensation package that is fair and equal across the board.
*DICK'S Sporting Goods has company-wide practices to monitor and protect us from compliance and monetary implications as it pertains to employer state tax liabilities. Due to said guidelines put in place, we are unable to hire in AK, DE, HI, IA, LA, MS, MT, OK, and SC., We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

RSM is looking to hire a Data Analyst on our National Finance and Operations team.

The Data Analyst is responsible for the development, automation, and compilation of data. This position will prepare reports through Excel, Access, SharePoint, and Power BI using compiled data from several internal systems.

Essential Duties

Analytical duties may include but are not limited to:

Developing data and storage requirements, reporting, analytics, and delivery methods in data standards and metadata.Develop, analyze, and evaluate data to create and maintain business intelligence frameworks.Integrate and mine large data sets, connecting data from disparate sources to identify critical insights and pragmatic data solutions.Maintain/update/create technical specifications (ex. data mapping, data flows, and dashboard content).Develop real-time reporting for analyzing KPIs.Design and create analysis and reports that include summaries, graphs, diagrams, and other visual representations in BI or excel.Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes.Discover and define new processes for improvement and opportunities.

Minimum Qualifications

Bachelor’s degree or equivalent experience. Accounting or Finance major preferred.Strong Microsoft Office skills.Ability to communicate effectively both verbally and written.Ability to work autonomously and part of a team.Effective organization and time management skills.Solid understanding of developing data requirements.Knowledge of Excel, Power BI, SQL, and understanding of concepts of database structures and data querying.Advanced Microsoft Office skills with exposure to Visual Basic.Previous experience with SQL preferred.Previous experience with a Business Intelligence (BI) tool preferred.Previous experience analyzing data and predicting future outcomes preferred.Prepare and review monthly work papers; perform account reconciliations, investigate general ledger balance discrepancies.Assist with month-end closing process.

At RSM, we offer a competitive benefits and compensation package for all our people. We support and inspire you to prioritize your wellbeing by delivering personalized, holistic programming for your physical, emotional, financial and community wellbeing. RSM has a generous time off policy with at least 14 paid holidays, wellbeing days and associate and above access to self-managed time off. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.

RSM is proud to be an Affirmative Action and Equal Employment Opportunity employer.  We are proud to provide our employees with tools to assist them in being successful in achieving both personal and professional goals. We welcome and support all our employees to thrive in an environment free of discrimination and harassment. As an Affirmative Action and Equal Opportunity Employer all applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.

Compensation Range: $61,200 - $109,900
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer
results: task: type: triplet
name: Triplet
dataset: name: ai job validation
type: ai-job-validation
metrics: type: cosine_accuracy
value: 0.9658119678497314
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 0.9495798349380493
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 166
Created: 2025-02-09 14:37:43