Model: Mubin/allmini-ai-embedding-similarity
Author: Mubin
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:812, loss:MultipleNegativesRankingLoss, dataset:Mubin/ai-job-embedding-finetuning, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-MiniLM-L6-v2, base_model:finetune:sentence-transformers/all-MiniLM-L6-v2, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: sentence-transformers/all-MiniLM-L6-v2
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:812, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-MiniLM-L6-v2
widget: source_sentence: Data engineering, AWS services, Big Data manipulation
sentences: Skills: SQL, PySpark, Databricks, Azure Synapse, Azure Data Factory.
Need hands-on coding
Requirements:1. Extensive knowledge of any of the big cloud services - Azure, AWS or GCP with practical implementation (like S3, ADLS, Airflow, ADF, Lamda, BigQuery, EC2, Fabric, Databricks or equivalent)2. Strong Hands-on experience in SQL and Python/PySpark programming knowledge. Should be able to write code during an interview with minimal syntax error.3. Strong foundational and architectural knowledge of any of the data warehouses - Snowflake, Redshift. Synapse etc.4. Should be able to drive and deliver projects with little or no guidance. Take ownership, become a self-learner, and have leadership qualities., requirements, and general interpretation of dataMentor, teach, share knowledge and analytic techniques with your colleagues

Experience And Preferred Qualifications

Minimum of three years of relevant experience in developing analytic solutions with proficiency in SQL, Microsoft Excel, Power BI, or similar data analysis and ETL toolsBachelor's degree (B.S./B.A.) in an appropriate field from an accredited college or universityStrong verbal and written communication skills with the ability to convey highly complex technical concepts down to actionable objectives to advise stakeholders including attorneys, firm management, and firm colleaguesExperience in project management including planning, organizing, and supervising clients and colleagues towards successful project completionDemonstrated ability to learn and succeed in a fast-paced environmentExpert level of proficiency with T-SQL or equivalent including a high level of proficiency in database administrationHigh proficiency with Microsoft Excel including an ability to create pivot tables, power pivots & queries, formulas, and external data connectionsAbility to design and implement ETL solutionsExperience in developing client facing visualizations and reports using Power BI, SSRS or similar visualization tools is a plusKnowledge of coding in Python, R, DAX and/or MExperience in developing SSIS and/or SSAS solutions

Qualified candidates must apply online by visiting our website at www.morganlewis.com and selecting “Careers.”

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Professional Staff positions – 1.888.534.5003 / talent.acquisition@morganlewis.com 

Morgan, Lewis & Bockius, LLP reasonably accommodates applicants and employees who need them to perform the essential functions of the job because of disability, religious belief, or other reason protected by applicable law. If you believe you need a reasonable accommodation during the application process, please contact Talent Acquisition at talent.acquisition@morganlewis.com., experience as a data engineer, data architect, with strong Python and SQL knowledge. Experience with AWS services and Databricks, and ideal if they've developed data pipelines in airflow or any streaming services (Kafka, Kinesis, etc). Expert-level competency in Big Data manipulation and transformation, both within and outside of a database. Need to have competency in API creation, and Machine Learning model deployment. Experience mentoring others and can help as a field leader for newer team members.Additional Skills & QualificationsExperience building decision-support applications based on Data Science and Machine LearningExperience building effective, efficient solutions in AWS, using Terraform and/or CloudFormation to build infrastructure as codeFamiliarity with Snowflake, Airflow, and other Big Data and data pipeline frameworksEducation, training, and certifications in engineering, computer science, math, statistics, analytics, or cloud computing., source_sentence: Digital advertising, MLOps, audience segmentation
sentences: experience, skills and abilities will determine where an employee is ultimately placed in the pay range.

Category/Shift

Salaried Full-Time

Physical Location:

6420 Poplar Avenue

Memphis, TN

Flexible Remote Work Schedule

The Job You Will Perform

Lead the hands-on IT development and deployment of data science and advanced analytics solutions for the North American Container (NAC) division of International Paper to support business strategies across approximately 200 packaging and specialty plants in the US and MexicoBreak down complex data science methodologies to business leaders in a way that is applicable to our North American Container business strategy.Identify opportunities for improving business performance and present identified opportunities to senior leadership; proactively driving the discovery of business value through data.Collaborate directly with NAC business partners to produce user stories, analyze source data capabilities, identify issues and opportunities, develop data models, and test and deploy innovative analytics solutions and systemsLead the application of data science techniques to analyze and interpret complex data sets, providing insights and enabling data-driven decision-making for North American ContainerLead analytics projects through agile or traditional project management methodologiesInfluence IT projects/initiatives with project managers, business leaders and other IT groups without direct reporting relationships.Work closely with IT Application Services team members to follow standards, best practices, and consultation for data engineeringRole includes: Data analysis, predictive and prescriptive modeling, machine learning, and algorithm development; collaborating and cross-training with analytics and visualization teams.Under general direction works on complex technical issues/problems of a large scope, impact, or importance. Independently resolves complex problems that have significant cost. Leads new technology innovations that define new “frontiers” in technical direction

The Skills You Will Bring 

Bachelor’s degree in Computer Science, Information Technology, Statistics, or a related field is required. A Masters degree and/or PhD is preferred.Minimum 12 years of relevant work experience, less if holding a Masters or PhD.Skills with Data Visualization using tools like Microsoft Power BIDemonstrated leadership in building and deploying advanced analytics models for solving real business problems.Strong Interpersonal and Communication SkillsAdaptable to a changing work environment and dealing with ambiguity as it arises. Data Science Skills:Data analysisPredictive and Prescriptive ModelingMachine Learning (Python / R)Artificial Intelligence and Large Language ModelsAlgorithm DevelopmentExperience with Azure Analytics ServicesCompetencies:Dealing with AmbiguityFunctional / Technical Skills Problem SolvingCreativity
The Benefits You Will Enjoy

Paid time off including Vacation and Holidays Retirement and 401k Matching ProgramMedical & Dental Education & Development (including Tuition Reimbursement)Life & Disability Insurance

The Career You Will Build

Leadership trainingPromotional opportunities

The Impact You Will Make

We continue to build a better future for people, the plant, and our company! IP has been a good steward of sustainable practices across communities around the world for more than 120 years. Join our team and you’ll see why our team members say they’re Proud to be IP.

The Culture You Will Experience

International Paper promotes employee well-being by providing safe, caring and inclusive workplaces. You will learn Safety Leadership Principles and have the opportunity to opt into Employee Networking Circles such as IPVets, IPride, Women in IP, and the African American ENC. We invite you to bring your uniqueness, creativity, talents, experiences, and safety mindset to be a part of our increasingly diverse culture.

The Company You Will Join

International Paper (NYSE: IP) is a leading global supplier of renewable fiber-based products. We produce corrugated packaging products that protect and promote goods, and enable worldwide commerce, and pulp for diapers, tissue and other personal care products that promote health and wellness. Headquartered in Memphis, Tenn., we employ approximately 38,000 colleagues globally. We serve customers worldwide, with manufacturing operations in North America, Latin America, North Africa and Europe. Net sales for 2021 were $19.4 billion. Additional information can be found by visiting InternationalPaper.com.

International Paper is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law., experience, education, geographic location, and other factors. Description: This role is within an organization responsible for developing and maintaining a high-performance Advertising Platform across various online properties, including streaming services. The Ad Platform Research team focuses on transforming advertising with data and AI, seeking a lead machine learning engineer to develop prediction and optimization engines for addressable ad platforms.
Key responsibilities include driving innovation, developing scalable solutions, collaborating with teams, and mentoring. Preferred qualifications include experience in digital advertising, knowledge of ML operations, and proficiency in relevant technologies like PyTorch and TensorFlow.
Basic Qualifications:MS or PhD in computer science or EE.4+ years of working experience on machine learning, and statistics in leading internet companies.Experience in the advertising domain is preferred.Solid understanding of ML technologies, mathematics, and statistics.Proficient with Java, Python, Scala, Spark, SQL, large scale ML/DL platforms and processing tech stack.
Preferred Qualifications:Experience in digital video advertising or digital marketing domain.Experience with feature store, audience segmentation and MLOps.Experience with Pytorch, TensorFlow, Kubeflow, SageMaker or Databricks.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Amit Kumar Singh at Amit.Singh@akkodis.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy., Qualifications
Master's degree is preferred in a Technical Field, Computer Science, Information Technology, or Business ManagementGood understanding of data structures and algorithms, ETL processing, large-scale data and machine-learning production, data and computing infrastructure, automation and workflow orchestration.Hands-on experience in Python, Pyspark, SQL, and shell scripting or similar programming languagesHands-on Experience in using cloud-based technologies throughout data and machine learning product development.Hands-on experience with code versioning, automation and workflow orchestration tools such as Github, Ansible, SLURM, Airflow and TerraformGood Understanding of data warehousing concepts such as data migration and data integration in Amazon Web Services (AWS) cloud or similar platformExcellent debugging and code-reading skills.Documentation and structured programming to support sustainable development.Ability to describe challenges and solutions in both technical and business terms.Ability to develop and maintain excellent working relationships at all organizational levels., source_sentence: Geospatial data management, spatial analysis, PostGIS expertise
sentences: experiences, revenue generation, ad targeting, and other business outcomes.Conduct data processing and analysis to uncover hidden patterns, correlations, and insights.Design and implement A/B testing frameworks to test model quality and effectiveness.Collaborate with engineering and product development teams to integrate data science solutions into our products and services.Stay up-to-date with the latest technologies and techniques in data science, machine learning, and artificial intelligence.
Technical Requirements:Strong proficiency in programming languages such as Python or R for data analysis and modeling.Extensive experience with machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.).Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).Familiarity with big data frameworks and tools (e.g., Hadoop, Spark).Proficient in using query languages such as SQL.Experience with cloud computing platforms (AWS, Azure, or Google Cloud) is a plus.Understanding of software development practices and tools, including version control (Git).
Experience:3+ years of experience in a Data Scientist or similar role.Demonstrated success in developing and deploying data models, algorithms, and predictive analytics solutions.Experience working with large, complex datasets and solving analytical problems using quantitative approaches.
Who You Are:Analytically minded with a passion for uncovering insights through data analysis.Creative problem solver who is eager to tackle complex challenges.Excellent communicator capable of explaining complex technical concepts to non-technical stakeholders.Self-motivated and able to work independently in a remote environment.A collaborative team player who thrives in a dynamic, fast-paced setting.
Join Us:At RTeams, you'll be part of an innovative company that values the transformative power of data. Enjoy the flexibility of remote work across the US, with standard working hours that support work-life balance. Here, we believe in empowering our team members to innovate, explore, and make a significant impact., Skills:Intermediate Level MS Excel (Pivot & Macros knowledge helpful)Intermediate Level MS PowerPoint (Presentation Slides & Charts)Familiarity with Data Storage platforms, directories and network drivesVBA ConceptsSQL BasicData Visualization Concepts

Soft Skills:Punctuality is required due to the reporting deadlines & on time delivery of dataOrganizedTeam playerCurious & Quick Learner

Education/Experience:Associate Degree in a technical field such as computer science, computer engineering or related field required2 -3 years of experience requiredProcess certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI

Summary: The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc.) that enable informed business decisions.  
Job, experience.Support database architecture performance and optimization.Support, and explore new ways to monetize Galehead’s geospatial tools, including entering new verticals.Provide as-needed support for both technical and business issues related to geospatial tools and outputs, including coaching/training other team members, as needed.Collaborate to develop new analytic data productsWrite and maintain a suite of automated data processesBring your best stuff: we need the best from everyone.
KEY REQUIREMENTS:Ability to create reproducible data processes, products, and visualizations using Python and SQL (or similar).Strong analytical and problem solving skills.Experience with open source geospatial processing tools including PostGIS (or other spatial SQL), GDAL/OGR, and/or Geopandas.Communications: Effective and thoughtful written and verbal communications. Work through issues or differing perspectives in a concise and professional manner.Organization: Maintain focus and extract value from the high volume of opportunities through command of the mission and meticulous organization of information, communications, resources and responsibilities.Collaboration: Serve as a resource to the entire team and facilitate getting work completed cross-functionally.
PREFERED SKILLS/CAPABILITIESExperience using Postgresql including complex analytic queries and performance considerations.Energy industry experience.Experience in software development practices including, but not limited to Git, Jira, Agileogr/gdalpostgres/postgispython - (pandas/geopandas)
GALEHEAD CULTURE:Accountability: Set and maintain high standards for yourself and your coworkers.Problem-Solving: Willingness to consider problems and find/drive a path forward. Identify and recommend solutions.Our Values:Bold: Demonstrate a bias for action and stretching conventional boundaries with a commensurate ability to acknowledge, define, and mitigate risk.Driven: Demonstrate an inherent motivation to succeed, regardless of externalities.True: Demonstrate transparency at all times, provide and accept constructive feedback., source_sentence: Data analysis, statistical modeling, data visualization
sentences: Skills: AWS, Spark, Adobe Analytics/AEP(Adobe Experience Platform) platform experience, Glue, Lamda, Python, Scala, EMR, Talend, PostgreSQL, Redshift

 Configure AEP to get the data set needed and then use spark (AWS glue ) to load data in the data lake Evaluate new use cases and design ETL technical solutions to meet requirements Develop ETL solutions to meet complex use cases

Adobe Data Engineer || Remote, experience solutions and technologies.This is a hybrid position, with the ideal candidate located near one of our regional hubs (New York, Chicago, Boston) and able to travel to an office as needed for working sessions or team meetings.
Curinos is looking for a Senior Data Engineering Manager to lead the build and expansion of our Retail Consumer product suite, relied on by our clients for precision deposit analysis and optimization. Our Retail Consumer business covers the largest suite of Curinos products and this position is a critical role within the Product Development team, combining both hands-on technical work (architecture, roadmap, code review, POC of new/complex methodologies) and team management.In this role, you will lead a cross-functional Product Development team of Software, Data and QA engineers covering all aspects of product development (UI/Middle Tier/API/Backend/ETL). You will collaborate with product owners on business requirements and features, work with the development team to identify scalable architecture and methodologies needed to implement, and own the timely and error-free delivery of those features. You will be expected to be “hands-on-keys” in this role, leading the team by example and helping to establish and model quality software development practices as the team, products and business continues to grow.
ResponsibilitiesBuilding and leading a Product Engineering team consisting of Software, Data and QA EngineersModeling quality software development practices to the team by taking on user stories and writing elegant and scalable codeConducting code reviews and providing feedback to help team members advance their skillsLeading the design and development of performant, extendable and maintainable product functionality, and coaching the team on the principles of efficient and scalable designEngaging with product owner and LOB head to understand client needs and craft product roadmaps and requirementsProviding input into the prioritization of features to maximize value delivered to clientsAnalyzing complex business problems and identifying solutions and own the implementationIdentifying new technologies and tools which could improve the efficiency and productivity of your teamWorking with in the Agile framework to manage the team’s day-to-day activitiesUnderstanding Curinos’ Application, API and Data Engineering platforms and effectively using them to build product featuresUnderstanding Curinos’ SDLC and compliance processes and ensuring the team’s adherence to them
Base Salary Range: $160,000 to $185,000 (plus bonus)
Desired Skills & Expertise6+ years professional full stack experience developing cloud based SaaS products using Java, SPA and related technologies with a complex backend data processing system[SW1][NS2]3+ years of experience with SQL Server or Databricks ETL, including hands-on experience developing SQL stored procedures and SQL-based ETL pipelines2+ Years of management experience of engineers/ICsProven ability to grow and lead geographically dispersed and cross-functional teamsA passion for proactively identifying opportunities to eliminate manual work within the SDLC process and as part of product operationA commitment to building a quality and error-free product, via implementation of unit testing, integration testing, and data validation strategiesA desire to design and develop for scale and in anticipation of future use casesDemonstrated intellectual curiosity and innovative thinking with a passion for problem-solvingSelf–discipline and willingness to learn new skills, tools and technologiesExcellent verbal and written communication skillsAdvanced proficiency in Java (including testing frameworks like Junit) and T-SQL (including dynamic sql and the use of control structures) is an assetExperience using Scala is a plusExperience using a templating language like Apache Freemarker is a plusBachelors or advanced degrees (Masters or PhD) degree, preferably in computer science, or a related engineering field
Why work at Curinos?Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose fromFlexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!Learning and development tools to assist with your career developmentWork with industry leading Subject Matter Experts and specialist productsRegular social events and networking opportunitiesCollaborative, supportive culture, including an active DE&I programEmployee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services
Applying:We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need!If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.
Inclusivity at Curinos:We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinosis proud to be, Qualifications
 Data Science, Statistics, and Data Analytics skillsData Visualization and Data Analysis skillsExperience with machine learning algorithms and predictive modelingProficiency in programming languages such as Python or RStrong problem-solving and critical thinking abilitiesExcellent communication and presentation skillsAbility to work independently and remotelyExperience in the field of data science or related rolesBachelor's degree in Data Science, Statistics, Computer Science, or a related field, source_sentence: NLP algorithm development, statistical modeling, biomedical informatics
sentences: skills for this position are:Natural Language Processing (NLP)Python (Programming Language)Statistical ModelingHigh-Performance Liquid Chromatography (HPLC)Java Job Description:We are seeking a highly skilled NLP Scientist to develop our innovative and cutting-edge NLP/AI solutions to empower life science. This involves working directly with our clients, as well as cross-functional Biomedical Science, Engineering, and Business leaders, to identify, prioritize, and develop NLP/AI and Advanced analytics products from inception to delivery.Key requirements and design innovative NLP/AI solutions.Develop and validate cutting-edge NLP algorithms, including large language models tailored for healthcare and biopharma use cases.Translate complex technical insights into accessible language for non-technical stakeholders.Mentor junior team members, fostering a culture of continuous learning and growth.Publish findings in peer-reviewed journals and conferences.Engage with the broader scientific community by attending conferences, workshops, and collaborating on research projects. Qualifications:Ph.D. or master's degree in biomedical NLP, Computer Science, Biomedical Informatics, Computational Linguistics, Mathematics, or other related fieldsPublication records in leading computer science or biomedical informatics journals and conferences are highly desirable

Regards,Guru Prasath M US IT RecruiterPSRTEK Inc.Princeton, NJ 08540guru@psrtek.comNo: 609-917-9967 Ext:114, Qualifications and Experience:

Bachelor’s degree in data science, Statistics, or related field, or an equivalent combination of education and experience.Working knowledge of Salesforce.Ability to leverage enterprise data for advanced reporting.Proficiency in combining various data sources for robust output.Strong knowledge of Annuity products and distribution structure.Influencing skills and change management abilities.4-6 years of experience in financial services.Strong organizational skills.Proven success in influencing across business units and management levels.Confidence and ability to make effective business decisions.Willingness to travel (less. than 10%)

Drive. Discipline. Confidence. Focus. Commitment. Learn more about working at Athene.

Athene is a Military Friendly Employer! Learn more about how we support our Veterans.

Athene celebrates diversity, is committed to inclusion and is proud to be, Skills :
a) Azure Data Factory – Min 3 years of project experiencea. Design of pipelinesb. Use of project with On-prem to Cloud Data Migrationc. Understanding of ETLd. Change Data Capture from Multiple Sourcese. Job Schedulingb) Azure Data Lake – Min 3 years of project experiencea. All steps from design to deliverb. Understanding of different Zones and design principalc) Data Modeling experience Min 5 Yearsa. Data Mart/Warehouseb. Columnar Data design and modelingd) Reporting using PowerBI Min 3 yearsa. Analytical Reportingb. Business Domain Modeling and data dictionary
Interested please apply to the job, looking only for W2 candidates.
datasets: Mubin/ai-job-embedding-finetuning
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/all-MiniLM-L6-v2
results: task: type: triplet
name: Triplet
dataset: name: ai job validation
type: ai-job-validation
metrics: type: cosine_accuracy
value: 0.9702970297029703
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 0.9803921568627451
name: Cosine Accuracy
verified: no
Likes: 1 | All-time downloads: 623
Created: 2025-01-23 09:52:13