ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Scientist
Company: Astria Digital
Location: Bengaluru, Karnataka, India
Description:
Job Description: Data Scientist




As a Data Scientist, you will be responsible for the development of advanced AI models, particularly in Generative AI, leveraging OpenAI technologies and Azure cloud services. This role involves creating innovative AI applications, conducting research, and collaborating with cross-functional teams.




Key Responsibilities:




• Design, develop, and implement generative models, including GANs VAEs and other generative AI techniques.

• Utilize OpenAI's GPT-3 or other models for creative content generation, natural language processing, and other applications, while ensuring compliance with OpenAI's guidelines and regulations.

• Utilize Azure cloud services for data storage, compute resources, and deploying machine learning models, maintaining best practices for scalability and security.

• Training and fine-tuning of generative models, optimizing their performance and addressing issues like mode collapse and convergence.

• Assess the performance of generative models using appropriate evaluation metrics and techniques.

• Apply advanced deep learning techniques and NLP (Natural Language Processing) for solving complex problems and generating content.

• Collaborate with cross-functional teams to integrate generative models into various applications and solutions, ensuring seamless operation on the Azure cloud platform.




Skills Required:




• 4+ years of Professional experience into the field of AI (6 months to 1 Year into GEN AI)

• Proficiency in OpenAI technologies, such as GPT-3, and the ability to integrate them into AI solutions while ensuring ethical and responsible use.

• Azure Cloud Services: Strong familiarity with Azure cloud services, including data storage, virtual machines, and machine learning services.

• Strong coding skills in Python and extensive experience with deep learning libraries,

• Proficiency in data cleaning, preprocessing, and manipulation for generative model training.

• A strong commitment to staying updated with the latest research and contributing to innovative solutions in generative AI and cloud-based AI.

• Strong problem-solving abilities for addressing complex challenges in generative AI applications, OpenAI integrations, and Azure-based solutions.

• Strong Communication and understanding skills.

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Job Title: Data Scientist
Company: Sigma Suisse
Location: Geneva, Switzerland
Description:
Sigma Suisse is seeking for it's client, a company in the trading sector, a Data Scientist with experience in the physical world : commodity industry, transportation or logistics :




We are seeking a skilled professional to join our client's team specializing in data science and machine learning. This role involves collaboration with various departments, including technical experts, software developers, and business teams, to develop and implement advanced analytical models and applications.




The position spans multiple areas such as trading, operational processes, and other supporting functions, requiring adaptability to diverse technologies and stakeholder needs. The selected candidate will be involved in every stage of project development, from defining objectives with stakeholders to data preparation, exploratory analysis, model optimization, and deployment of production-ready solutions.




This role demands a hands-on approach to handling complex datasets and delivering actionable insights. The candidate will join a group of experienced professionals focused on addressing significant challenges within the energy sector while exploring innovative possibilities for improvement.




Job Description




Apply data science to development applications in the commodities trading sector
Design and implement optimization, improvement, and automation solutions for trading applications
Analyze data related to physical movements (vessel locations, etc.) in the commodities industry
Develop models and analyses to extract insights from physical world data
Collaborate closely with the software development team to create clean and modular code
Participate in the continuous improvement of existing trading applications




Qualifications




Degree in Computer Science, Data Science, or related field
5 to 10 years of experience in data science, ideally in the commodities sector
Strong skills in mathematics, statistics, and machine learning
Advanced proficiency in Python and ability to write clean, modular, and well-documented code
Proven experience analyzing data related to the physical world (transportation, logistics, etc.)
Ability to translate complex problems into effective technical solutions
Knowledge of the commodities sector and trading applications is a significant advantage
Experience in C# development appreciated but not mandatory

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Job Title: Data Scientist (AI/ML)
Company: Collabera
Location: Toronto, Ontario, Canada
Description:
Contract Duration: Start ASAP, Initially 6 months (possibility of extension)

Schedule Hours: 9am-5pm, Monday-Friday (standard 37.5 hrs/week)

Work Environment: Hybrid Model

Reason: New Project




Story Behind the Need

This is an opportunity to play a critical role in building real-time analytics capabilities within a leading bank in the GTA. If you have the expertise in data engineering, machine learning, and quantitative modeling,




Typical Day in Role

Implementing and automating models developed by the product team.
Generating statistical models based on use cases and ensuring correct correlation analysis for clients (e.g., identifying similar clients and generating insights based on similarities).
Turning data into code to help client's Capital Market deliver real-time analytics to customers.
Supporting the transition from batch processing to real-time insights, helping build the framework and engine for this initiative.




Soft Skills: Strong Communication, Stakeholder Management, Time Management, Adaptability, Problem Solving




Candidate Requirements/Must-Have Skills:

7+ years of experience in a data science role
Expert-level Python skills (pandas, NumPy, matplotlib, requests, scikit-learn)
Strong experience in machine learning frameworks such as PyTorch (or Keras, TensorFlow, Apache Spark)
Hands-on experience optimizing quantitative models
Deep knowledge of mathematics and statistics
Experience in data engineering for distributed stream processing
Previous exposure to AI tools and technologies
Strong communication skills, ability to work with cross functional teams, ability to translate technical terminology, strong initiative, team first mentality, creative and curious to learn.




Nice-to-Have Skills

Experience in banking or capital markets




Education

Bachelor's degree in a technical field such as computer science or computer engineering.




Best vs. Average Candidate

The ideal candidate will possess strong soft skills and a can-do attitude. Meeting 80% of the technical skills and 20% of the domain knowledge would be ideal. Experience in banking or capital markets is a strong plus.

___

About Us:

Collabera is a leading Digital Solutions company providing software engineering solutions to the world’s most tech-forward organizations. With more than 25 years of experience, we have hired over 17000 employees across 60+ offices globally and currently place 10000+ professionals annually to support critical IT engagements at more than 500 client sites, 80% being the Fortune 500. {and 59% of the Fortune 50 (could use either stat)}

With Collabera, you

• Will get to work on numerous challenging and exciting projects, including UI/UX transformation, Blockchain, AI/Data Science, Cloud migrations, Cyber-Security and Engineering.

• At Collabera you have 80% chances of project extension or redeployment to other clients

• Will have endless opportunities to learn new technologies through our inhouse Training arm – Cognixia.

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Job Title: Machine Learning Engineer (Junior)
Company: LogicMatrix
Location: Florida, United States
Description:
Machine Learning Engineer (Junior)



A Bit About Us:

We're a fast-paced startup building innovative tools for developers. Join our team and help us create intelligent systems that empower our users. We value collaboration, creativity, and a passion for learning.

The Opportunity:

We're looking for a Junior Machine Learning Engineer to assist in the development and implementation of machine learning models. You'll work closely with senior engineers, learn new techniques, and contribute to impactful projects.

What You'll Do:


Assist in the development of machine learning models.
Prepare and preprocess data for analysis.
Evaluate model performance.
Collaborate with the team to implement solutions.
Learn and apply new machine learning techniques.



What You Bring:


Basic understanding of machine learning concepts.
Proficiency in Python.
Strong problem-solving skills.
A passion for learning and growth.
Good communication skills.



Bonus Points:


Experience with machine learning libraries (e.g., scikit-learn, TensorFlow).
Knowledge of data visualization.
Coursework or projects in machine learning.



Perks of Joining Our Team:


Competitive entry-level salary and growth opportunities.
Comprehensive health, dental, and vision insurance.
Flexible work hours and remote work options.
Mentorship and professional development.



Years of Experience: 2+ years of relevant experience or a strong academic background in a related field.Important: We are committed to building a diverse and inclusive team. We encourage applications from all qualified candidates, regardless of background, race, gender, sexual orientation, or any other protected characteristic.

Compensation: $70,000 - $90,000 (depending on experience) + growth potential.
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Job Title: AI/ML Developer
Company: SWITS DIGITAL Private Limited
Location: India
Description:
Role: AI/ML Developer

Years of Experience: 5+ Years

Role Type: FTE

Notice Period: Immediate

Work Mode: Permanent Remote

Job Summary

We are seeking a proficient AI Developer to join our remote team, bringing extensive experience in Python-based AI/ML development, cloud computing (AWS Bedrock), and backend development. The role demands expertise in deploying robust, scalable AI solutions, optimizing machine learning models, and managing data pipelines efficiently. Strong analytical and collaborative skills, combined with an ability to clearly communicate technical concepts, are essential.

Required Skills


Python Development with AI/ML
TensorFlow, PyTorch, scikit-learn
NLP, LLMs, RAG Systems, Computer Vision
AWS Bedrock & AWS Services (S3, Lambda, SageMaker, ECS/EKS, IAM)
RESTful APIs (Flask/FastAPI)
Docker & Kubernetes
Data Engineering (ETL, Apache Airflow/AWS Glue/Spark)
Relational & NoSQL databases (PostgreSQL, MySQL, DynamoDB, MongoDB)


Good To Have Skills


CI/CD Pipelines and DevOps
Project management tools (Jira/Trello)
Cloud infrastructure optimization and security


Essential Requirements

Programming & AI Development:


5+ years of experience in Python development with AI/ML focus.
Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.
Experience in neural networks, NLP, LLMs, RAG, and computer vision.


Backend & API Development


Experience in RESTful API development using Flask or FastAPI.
Strong knowledge of OOP, functional programming, and microservices architecture.


Cloud & DevOps


Experience with AWS Bedrock and other AWS services (S3, Lambda, SageMaker, ECS/EKS, IAM).
Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
Understanding of CI/CD pipelines and DevOps practices.


Data Engineering & Databases


Strong knowledge of PostgreSQL, MySQL, DynamoDB, and MongoDB.
Experience with data pipelines, ETL processes, and Apache Airflow/Spark/AWS Glue.


Version Control & Collaboration


Proficiency in Git and best practices for collaborative development.
Familiarity with project management tools like Jira or Trello.
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Job Title: AI/ML Researcher
Company: Seer
Location: San Francisco Bay Area
Description:
AI/ML Researcher




We are currently working with a Biotech Unicorn! Who are working on evolutionary technology at the interface of biology, engineering and chemistry to discover novel treatments for life-threatening diseases.




They are looking for a Principal Research Engineer with AI/ML experience in Biology to join them on a full-time basis.




Apply immediately to discuss the role further.

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Job Title: Machine Learning Engineer
Company: CXC
Location: London Area, United Kingdom
Description:
CXC are working with a global Medical Devices developer who are looking for an experiennced contract ML Engineer. Details are:




INSIDE IR35

6 months contract

In the office at least 1 day/week, looking for candidates local to the London office. Expect that there may be times where someone would need to come in more frequently due to project needs.




Responsibilities:

Optimize, quantize, and deploy deep learning model outputs from the ML team onto video pipelines.
Develop efficient inference pipelines for running AI models in real-time on constrained hardware.
Implement custom CUDA kernels.
Collaborate with cross-functional teams, including ML researchers, embedded software engineers, and UI/UX designers, to integrate ML solutions seamlessly into products.
Work as part of a multidisciplinary team to develop robust and secure-by-design software for a medical device
Maintain a high level of quality and reliability in submitted code and participate in team code reviews




Mandatory experience:




Proficiency in deep learning frameworks such as TensorFlow or PyTorch
Hands-on experience and strong theoretical knowledge in quantization and pruning
Experience with kernel development using CUDA or OpenCL for image processing
Hands-on experience with TensorRT, embedded hardware accelerators and the ONNX
Strong proficiency in both C++ and Python
Software development experience on embedded devices such as NVIDIA Orin.







Nice to Haves

Excellent debugging skills
Experience with video streaming frameworks (Gstreamer, deepstream, holoscan etc.)
Good knowledge of Linux, cmake and git.

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Job Title: Data Engineer
Company: Barstool Sports
Location: New York, NY
Description:
About The Job

We are hiring a Data Engineer for Barstool Sports, located in New York City or remote. As a Data Engineer, you will not only own, but also perform maintenance and enhancements across an array of projects. You will be tasked to work with the product & engineering team, as well as our data science team, to build and orchestrate data workflows that move data from our vast umber of 3rd party sources into our central data warehouse. You will be responsible for building and maintaining custom scraping solutions, ETL pipelines as well as managing out-of-the-box data ingestion products. You will need to utilize SQL for simple data retrieval to complex materialized views.

Languages, frameworks, and tools you should know….


Python
Snowflake / BigQuery / Redshift / DataBricks
DBT
Looker


Languages, frameworks, and tools you should be familiar with...


Prefect
AWS Lambda
Node.js
FiveTran, StitchData or other ETL tools


Requirements


3+ years of engineering experience in Javascript or Python with a strong grasp of SQL
Ability to interact with 3rd party API’s at scale. Some workflows will query millions of rows.
Strong understanding of data warehouses and how to efficiently store the data for optimal query performance.
Excellent communication skills — you should be able to clearly articulate your decisions.


Range: $95,000 - $110,000

Barstool Sports is a company that will drive the way media is created and consumed for years to come. Working at Barstool Sports means being part of a team that is solutions-oriented, celebrates creativity, and supports one another.

Joining means having access to competitive and valuable benefits and perks, including but not limited to:


Competitive medical, dental, and vision insurance; Flexible Spending Accounts and Commuter Benefits
A 4% 401(k) employer match
Unlimited vacation time, including Summer break in July and Holiday break in December
Monthly employer contribution towards cell phone reimbursement
Employee discount to the Barstool Sports store
Financial wellness benefits through Origin
A monthly stipend for UberEats


What We Value


Rep the brand as best you can
We have lots of different brains, be open to them
Never change who you are, that's who we hired
Find the solution, don't be the problem
Don't be afraid to try something new
Common Sense. Use it.
Be there for your audience
Always think about how you can help


Barstool Sports is for everyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Barstool Sports does not accept unsolicited headhunter or agency resumes. Barstool Sports will not pay any third-party agency or company that does not have a signed agreement.
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Job Title: Data Engineer (University Grad)
Company: WhatsApp
Location: London, England, United Kingdom
Description:
Are you passionate about product, analytics and technology? The Data Engineering team is looking for fast-moving analytics candidates and data junkies who want to make an impact. Our data engineering team works very closely with Product Managers, Data Scientists, Software Engineers, and Operations, to figure out ways to support our customers when they need help - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. You will work with some of the brightest minds in the industry, and you'll have the opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match.

Data Engineer (University Grad) Responsibilities:


Architect, implement and deploy new data models and data processes in production
Perform data analysis to generate business insights
Interface with Engineers, Product Managers and Product Analysts to understand product goals and data needs
Build data expertise and own data quality for allocated areas of ownership
Manage data warehouse plans for a product or a group of products
Support critical data processes running in production


Minimum Qualifications:


Currently has, or is in the process of obtaining a Bachelor's or Master's degree in Computer Science, Mathematics, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
Knowledge of SQL
Programming knowledge in Python
Knowledge of database systems


Preferred Qualifications:


Experience thriving in a fast-paced work environment
Curious, self-driven, analytical and excited to play with data
Experience in collaborating with individuals and organizations


About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.


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Job Title: Data Engineer with Python + SQL
Company: Cognizant
Location: Bangalore Urban, Karnataka, India
Description:
Job Title: - Data Engineer with Python + SQL

Location: - Kolkata

Job Type 3 days from office (Hybrid)

Minimum 3 To 14 Years Of Experience


Strong experience in Python scripting and SQL Knowledge is mandatory
Proficiency in Object Oriented and functional programming concepts
Programming experience in Python is desired however Java Ruby Scala Clojure are acceptable alternatives
Experience integrating services to build pipeline solutions In AWS Hadoop EMR Azure Google Cloud
AWS experience is a plus but not required
Nice to have experience with Relational and NoSQL databases
Nice to have DevOps or Data Ops experience
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Job Title: Data Engineer
Company: Persistent Systems
Location: Pune, Maharashtra, India
Description:
About Position:




We are looking for a Data Engineer with Python AWS experience.




Role: Data Engineer
Location: All PSL Location
Experience: 5-10 Years
Job Type: Full Time Employment




What You'll Do




Understand the domain for which the entities are being created.
Understand the entity creation process framework- both batch and real time.
Create entity structure in the datamap studio.
Use the existing entity creation framework to create and populate entities using either the batch method OR the real time events method.
Publish the entities in datamap studio and configure quality checks and execution schedule of the jobs.




Expertise You'll Bring:




SQL, Java or Python, AWS (EMR, S3, Lambda)
Strong in SQL.
Programming- Java OR Python.
AWS - (S3, EMR, Lambda)
Good to have knowledge- spark, scala, hive.
Good to have: Knowledge of Spark, Scala, and Hive.




Benefits:




Competitive salary and benefits package
Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents




Inclusive Environment:




Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.




We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.




Our company fosters a values-driven and people-centric work environment that enables our employees to:




Accelerate growth, both professionally and personally
Impact the world in powerful, positive ways, using the latest technologies
Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
Unlock global opportunities to work and learn with the industry’s best




Let’s unleash your full potential at Persistent




“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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