CrawlJobs Logo
Comcast Advertising Logo Comcast Advertising · IT - Software Development

Engineer 2, Machine Learning

India, Chennai · Job Posted February 19, 2026
Apply Position
Job Link Share

Job Description

Responsible for contributing to the development and deployment of machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms as a part of a larger team. Contributes to translating application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Contributes to developing ways to use machine learning to solve problems and discover new products, working on a portion of the problem and collaborating with more senior researchers as needed. Works with moderate guidance in own area of knowledge.

Job Responsibility

  • Contributes to the implementation, refinement and validation of machine learning algorithms for products and applications
  • Trains machine learning models, validates the accuracy of the machine learning models once trained and deploys validated machine learning models into production
  • Contributes to designs and development of data pipelines consisting of data ingest, data validation, data cleaning and data monitoring
  • Researches, writes and edits documentation and technical requirements, including evaluation plans, confluence pages, white papers, presentations, test results, technical manuals, formal recommendations and reports
  • Contributes to the company by creating patents, Application Programming Interfaces (APIs) and other intellectual property
  • Contributes to the testing and evaluation of solutions presented to the Company by various internal and external partners and vendors
  • Contributes to case studies, testing and reporting
  • Designs proof of concept solutions and contributes to studies to support future product or application development
  • Consistent exercise of independent judgment and discretion in matters of significance
  • Regular, consistent and punctual attendance
  • Must be able to work nights and weekends, variable schedule(s) and overtime as necessary
  • Other duties and responsibilities as assigned

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field
  • 3–4 years of hands-on experience in ML engineering, ML testing, or applied ML roles
  • Strong understanding of ML fundamentals, debugging, and evaluation methodologies
  • Strong proficiency in Python
  • Hands-on experience with ML frameworks (scikit-learn, PyTorch, TensorFlow)
  • Experience building or extending testing frameworks (pytest, unittest)
  • Solid skills in Pandas, NumPy, and data analysis
  • Experience or exposure to LLMs and GenAI concepts: Prompt engineering, LLM evaluation techniques, RAG pipelines (basic understanding)
  • Familiarity with ML pipelines, model deployment workflows, and CI/CD
  • Curious mindset with interest in GenAI and LLM-driven automation
  • Detail-oriented, analytical, and comfortable working with complex systems

Nice to have

  • Exposure to model monitoring, drift detection, and performance metrics is a plus
  • LLM evaluation techniques
  • Testing frameworks (pytest, unittest)
  • RAG/ML pipelines and CI/CD

What we offer

  • Paid Time off
  • Physical Wellbeing benefits
  • Financial Wellbeing benefits
  • Emotional Wellbeing benefits
  • Life Events + Family Support benefits
Comcast Advertising - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Engineer 2, Machine Learning

8 matching positions

Machine Learning Engineer 2

FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers...
Location
Location
United States , New York
Salary
Salary:
126147.20 - 189220.80 USD / Year
comcastadvertising.com Logo
Comcast Advertising
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field of study
  • 1-2 years of relevant professional experience
  • Strong understanding of software development principles, data structures, and algorithms
  • Proficient in Python, with a good grasp of common design patterns and backend system design principles, experience with C++ is a bonus
  • Solid understanding of testing methodologies, with hands-on experience in backend testing tools such as pytest, etc., to ensure code quality and system reliability
  • Strong problem-solving and debugging skills in backend systems
  • Good communication and writing skills, coupled with the ability to thrive in a fast-paced, dynamic environment
  • Familiarity with the Scrum Agile collaboration framework and experience using Jira are a plus
  • Familiarity with CI/CD tools, Git, and understanding of DevOps principles, experience with Jenkins is a plus
  • Experience with Docker, Kubernetes, or cloud computing platforms is a plus
Job Responsibility
Job Responsibility
  • Implementing, refining, and validating machine learning algorithms tailored for company products and applications
  • Training machine learning models, validating their accuracy, and manage the deployment of these models into production environments
  • Designing and developing data pipelines, ensuring proper data ingestion, validation, cleaning, and monitoring
  • Researching and authoring documentation and technical requirements, including white papers, test results, and formal recommendations
  • Innovating by contributing to the creation of patents, Application Programming Interfaces (APIs), and other intellectual property
  • Testing and evaluating machine learning solutions from internal and external sources, providing detailed assessments
  • Conducting case studies and compile reports to inform testing strategies and results
  • Designing proof of concept solutions, contributing to research studies that underpin future product or application development
  • Consistent exercise of independent judgment and discretion in matters of significance
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary
What we offer
What we offer
  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
  • Bonus
  • Fulltime
Read More
Arrow Right

Research Engineer / Machine Learning Engineer - B2B Applications

OpenAI is at the forefront of artificial intelligence, driving innovation and sh...
Location
Location
United States , San Francisco
Salary
Salary:
295000.00 - 445000.00 USD / Year
openai.com Logo
OpenAI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's/ PhD degree in Computer Science, Machine Learning, or a related field
  • 2+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
  • Demonstrated experience in deep learning and transformers models
  • Proficiency in frameworks like PyTorch or Tensorflow
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
  • Excellent problem-solving and analytical skills, with a proactive approach to challenges
  • Ability to work collaboratively with cross-functional teams
  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
  • Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
Job Responsibility
Job Responsibility
  • Innovate and Build: Design and build advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact
  • Collaborate with the Best: Work closely with software engineers, product managers and forward deployed engineers to understand complex business challenges, address customer concerns and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives
  • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches
  • Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices
  • Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
What we offer
What we offer
  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer - Evisort

Join the Evisort AI team at Workday, which powers Document Intelligence AI and W...
Location
Location
Canada , Vancouver
Salary
Salary:
128000.00 - 192000.00 CAD / Year
Workday
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team building applied machine learning products at scale, including taking products through applied research, design, implementation, production, and production-based evaluation
  • 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
  • 2+ years of professional experience in building services to host machine learning models in production at scale
  • 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models for real-world use cases
  • 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent
Job Responsibility
Job Responsibility
  • Develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis
  • Collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem
  • Utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models
  • Develop and deploy new products at scale
  • Leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers
  • Fulltime
Read More
Arrow Right

AI / Machine Learning Engineer

Location
Location
United States , Los Angeles
Salary
Salary:
170000.00 - 190000.00 USD / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years in software/data engineering or machine learning
  • 2+ years building AI/ML or LLM-based systems in production environments
  • Hands-on experience with Azure AI services, Azure AI Foundry, Azure Machine Learning, OpenAI on Azure, and Copilot Studio
  • Working knowledge of Lakehouse architecture and tools such as Microsoft Fabric, Databricks, and/or Azure Synapse
  • Proficiency with Git, Azure DevOps (or GitHub), Agile methods (e.g., Jira), and CI/CD pipelines for analytical solutions
  • Proven experience building autonomous agents or AI-driven workflows with safety and observability
  • Expertise in prompt engineering, fine-tuning, RAG, and evaluation frameworks
  • Comprehensive understanding of the ML lifecycle from experimentation through deployment, monitoring, and continuous improvement
Job Responsibility
Job Responsibility
  • Design and implement AI/ML solutions with Azure Machine Learning, Azure AI Foundry (AI Studio), OpenAI on Azure, and Copilot Studio
  • Build, fine-tune, and evaluate LLM-based applications
  • Develop and maintain Python pipelines (ETL/ELT) and ML models
  • Deliver demand prediction, sales forecasting, and operational planning models
  • Integrate AI into Power Platform solutions and line-of-business apps
  • Build task-oriented AI agents and automation workflows
  • Design context management patterns for AI systems
  • Design scalable data products on Fabric/Databricks/Synapse
  • Build CI/CD for models and prompts
  • Implement telemetry and responsible AI evaluations
What we offer
What we offer
  • Comprehensive Medical, Dental and Vision Plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Wellness Incentive
  • Employee Assistance Program (EAP)
  • Paid Time Off & Holidays
  • 401(k) Retirement Plan Matching
  • Group Term Life and AD&D Insurance
  • Short-Term and Long-Term Disability Insurance
  • Data-Driven Strategy to Provide Competitive and Equitable Compensation Packages
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer II

Uber's Marketplace is at the core of the business. The Earner Incentive team in ...
Location
Location
United States , San Francisco; Sunnyvale
Salary
Salary:
171000.00 - 190000.00 USD / Year
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience
  • 2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
  • Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation
  • Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)
  • Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices
  • Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows
  • Strong learning mindset, proactive ownership, and effective communication skills
  • ability to collaborate effectively within cross-functional teams
Job Responsibility
Job Responsibility
  • Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber's driver incentives
  • Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers
  • Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability
  • Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals
  • Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems
  • Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems
  • Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team's goals
What we offer
What we offer
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Various benefits
  • Fulltime
Read More
Arrow Right

Sr. Lead Machine Learning Engineer

As a Capital OneMachine Learning Engineer (MLE), you'll be part of an Agile team...
Location
Location
United States , New York, New York; San Francisco, California; San Jose, California; Cambridge, Massachusetts; McLean, Virginia
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
Job Responsibility
Job Responsibility
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
  • Retrain, maintain, and monitor models in production
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI
  • Use programming languages like Python, Scala, or Java
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Machine Learning Engineer

We are Woolworths Group. Woolworths Group is an Australian food and everyday nee...
Location
Location
Australia , Sydney
Salary
Salary:
Not provided
woolworths.com.au Logo
Woolworths Supermarkets
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree or above in Computer Science, Engineering, or a related field
  • 3+ years of commercial software development experience
  • 2+ years of hands-on experience in Python, SQL, and Linux
  • Hands-on experience with manipulating and processing large, complex datasets (preferred)
  • Hands-on experience with social media statistics/metrics APIs/tools (preferred)
  • Hands-on experience with containerized solutions such as Docker (preferred)
  • Hands-on experience with GenAI(LLM) solutions (preferred)
  • Experience building Machine Learning / Data pipelines (preferred)
  • Experience building RESTful APIs (preferred)
  • Experience in ML Engineering, MLOps, or DevOps (preferred)
Job Responsibility
Job Responsibility
  • Design, develop, implement, scale and maintain Advanced Analytics Solutions
  • Design, develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products
  • Develop Cloud based ML pipelines to solve a broad range of business problems
  • Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications
  • Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner
  • Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions
  • Apply relevant testing frameworks to ensure the robustness of solutions
  • Communicate analyses, insights, solution designs and showcase working solutions
What we offer
What we offer
  • Team discounts across our range of Woolworths Group brands
  • 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
  • 24/7 access to the Sonder app
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Senior Machine Learning Engineer at Amgen. Join Amgen’s Mission of Serving Patie...
Location
Location
United States , Thousand Oaks; Jacksonville
Salary
Salary:
156190.05 - 211315.95 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Solid foundation in machine learning algorithms and techniques
  • Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
  • Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Outstanding analytical and problem-solving skills
  • Ability to learn quickly
  • Good communication and interpersonal skills
  • Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
  • Excellent analytical and troubleshooting skills
  • Strong verbal and written communication skills
Job Responsibility
Job Responsibility
  • Collaborate with data scientists to develop, train, and evaluate machine learning models
  • Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
  • Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
  • Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency
  • Develop and implement monitoring systems to track model performance and identify issues
  • Conduct A/B testing and experimentation to optimize model performance
  • Work closely with data scientists, engineers, and product teams to deliver ML solutions
  • Stay updated with the latest trends and advancements
What we offer
What we offer
  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models, including remote and hybrid work arrangements, where possible
  • Fulltime
Read More
Arrow Right