105 Computer Vision Engineer jobs in Chennai

Job Title: Computer vision Engineer

Location: Chennai, India

Employment Type: Full-Time

Reports To: CMD ( later to the CTO)

Job Overview

As our AI/ML Engineer, you will be responsible for designing and prototyping the core machine learning architectures that drive our solution. You will collaborate directly with the founder to brainstorm, evaluate, and select the best approaches for computer vision, sensor fusion, and reinforcement learning applications in cricket and badminton.

Given that this is a new domain, candidates with experience in adjacent areas (such as robotics, autonomous systems, sports analytics, surveillance, or IoT) are encouraged to apply. We value innovative problem solvers who can adapt their skills to meet our unique challenges.

Key Responsibilities

• Architecture & Design:
• Propose and evaluate multiple AI/ML architectures suitable for real-time officiating tasks (object detection, event detection, trajectory prediction, and sensor fusion).
• Collaborate with the founder to select and iterate on the optimal architecture for our use case.
• Algorithm Development:
• Develop computer vision algorithms to detect and track critical objects (e.g., sports balls, players, court lines).
• Design and implement reinforcement learning (RL) models for dynamic PTZ camera control (tracking, panning, and zooming) to ensure the best camera viewpoints.
• Build predictive models for real-time decision-making (e.g., anticipating ball trajectories for no-ball calls, scoring events).
• Sensor Fusion:
• Integrate data from video feeds with auxiliary sensors (audio, IR, radar, etc.) to improve the accuracy and reliability of event detection.
• Optimize models for low-latency performance on edge devices.
• Prototyping & Testing:
• Rapidly prototype and validate AI/ML modules using real or simulated data.
• Work closely with the full-stack developer to integrate AI components into the broader software system.
• Documentation & Research:
• Document architecture decisions, model designs, and implementation details.
• Stay updated on recent research and advancements in computer vision, machine learning, and reinforcement learning, and apply relevant innovations to enhance the product.
• Collaboration:
• Participate in brainstorming sessions and technical reviews with the product management and development teams.
• Provide insights on potential improvements and scalability for the system as we expand from a prototype to a full-scale commercial product.

Qualifications & Skill Sets

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline with a focus on machine learning, computer vision, robotics, or data science.

Technical Skills:

• Programming Languages: Proficiency in Python and familiarity with C++.
• Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
• Computer Vision: Hands-on experience with OpenCV, YOLO, or other object detection and tracking libraries; strong knowledge of convolutional neural networks (CNNs).
• Reinforcement Learning: Understanding of RL concepts and experience with frameworks such as Open AI Gym or similar; ability to prototype RL solutions for real-time control.
• Sensor Fusion: Familiarity with techniques to integrate and process multi-modal data (video, audio, IR, radar, etc.).
• Optimization for Real-Time Systems: Experience in tuning models and algorithms for low-latency, edge, or embedded deployment.
• Software Engineering: Ability to write clean, well-documented code and collaborate using version control systems (e.g., Git).

Domain-Relevant Experience:

• While direct experience in sports officiating is not required, experience in adjacent fields such as:
• Sports Analytics: Building models for performance analysis or event detection in sports.
• Robotics/Autonomous Systems: Developing vision and control algorithms for real-time decision-making.
• Surveillance/IoT: Implementing sensor fusion techniques and real-time video analytics.
• Project or research experience that demonstrates your ability to solve complex problems in real-time environments is highly desirable.

Soft Skills:

• Problem-Solving: Ability to work through challenging technical problems and innovate solutions.
• Collaboration: Excellent communication skills to articulate technical concepts to non-technical stakeholders and work effectively in a small, cross-functional team.
• Adaptability: Self-motivated and eager to learn new domains, with a proactive approach to overcoming technical challenges.
• Team Spirit: A willingness to contribute ideas, accept feedback, and continuously iterate on solutions.

Why Join Us?

• Innovative Domain: Be at the forefront of merging AI with sports officiating and analytics—a field ripe for innovation.
• Collaborative Environment: Work directly with the founder and a lean, agile team, where your ideas directly influence the product’s direction.
• Growth Opportunity: Gain experience in building a product from concept to market, with room to grow as the company scales.
• Competitive Compensation: We offer a competitive salary with potential equity participation in a rapidly evolving startup.

Senior Software Engineer II -
Anti-Spoofing/Liveness Detection
Shape the Future of Biometric Security with Us
Are you excited by the opportunity to create innovative software that makes a positive difference for people and communities?
Do you value collaboration, enjoy supporting the growth of others, and approach challenges with creativity and determination?
About the Business
LexisNexis Risk Solutions is a leading partner in risk assessment. Within our Business Services division, we deliver solutions that empower organizations of all sizes to achieve revenue growth, streamline operations, and enhance customer experiences. Our technologies play a critical role in anti-money laundering and counter-terrorist financing, identity authentication and verification, fraud and credit risk mitigation, and customer data management. Learn more about LexisNexis Risk at the Team
Join a diverse and welcoming team of engineers passionate about building a world-class platform to address identity fraud on a global scale. We believe that everyone brings unique perspectives and strengths, and we encourage applications from people of all backgrounds and experiences.
About the Role
As an Anti-Spoofing/Liveness Detection Engineer, you will help design and develop advanced systems to detect and prevent spoofing attacks in biometric authentication. You will apply machine learning and deep learning to distinguish genuine interactions from fraudulent ones, ensuring secure and accessible digital experiences for all users.
Responsibilities
+ Design and develop liveness detection systems using AI algorithms to separate real from fake biometric data, analyzing features such as facial characteristics, eye movements, and other physiological signals.
+ Build and optimize deep learning models tailored for liveness detection, selecting and refining algorithms to achieve high accuracy and reliability.
+ Engage in feature engineering by identifying and extracting important patterns from biometric data, including texture analysis, motion-based detection, and 3D depth analysis.
+ Work with data scientists and team members to collect, clean, and prepare large datasets for model training, ensuring data quality and representativeness.
+ Implement machine learning algorithms to process real-time biometric data, integrating multiple modalities like facial recognition, fingerprint scanning, and iris recognition.
+ Test and validate liveness detection systems thoroughly to ensure strong performance in real-world situations and validate models against a variety of spoofing techniques.
+ Deploy, monitor, and maintain liveness detection systems in production, ensuring scalability and high performance. Proactively identify and address any accuracy or efficiency issues.
Requirements
+ Understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
+ Experience developing deep learning models.
+ Programming skills in Python, Java, or R (or similar languages) for model development and algorithm implementation.
+ Strong analytical and problem-solving abilities, with a familiarity with statistics, probability, and data analysis techniques.
+ Ability to work collaboratively with cross-functional teams-including data scientists, software engineers, and product managers-to achieve shared goals.
Preferred, but Not Required
+ Experience in anti-spoofing or biometric security systems.
+ Familiarity with standards such as NIST ISO/IEC 30107 or FIDO.
+ A passion for continuous learning and keeping up with the latest advancements in AI and machine learning.
We are committed to creating an accessible and supportive workplace. If you need reasonable accommodation(s) to participate in the application process or to perform this job, please let us know. We value every candidate's potential and welcome applications from all qualified individuals, including those from underrepresented and non-traditional backgrounds.
Learn more about the LexisNexis Risk team and our culture here ( are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Intellect Design Arena Limited is a global leader in Financial Technology for Banking, Insurance and other Financial Services. With a rich suite of products across the organization, we are an authority on vertical and integrated products that enable institutions to meet their ambition to be the principal service provider to their customers. Our commitment is to take banking into the future, anticipating and solving needs of tomorrow’s businesses.

We create financial technologies that help banks lead businesses on the path to growth and success. Our solutions help move the banking world forward; because that’s what happens when the world knows it has financial institutions they can rely on. This is the philosophy that we at Intellect follow and our commitment to our customers’ success.

Job Description: Python ML Engineer

Location: Chennai

Experience: 3+ years

We are seeking a skilled and motivated ML Engineer (Python) with a minimum of 3 years of hands-on experience in Python development. The ideal candidate will have a solid understanding of software engineering principles, data structures, and backend development, along with foundational knowledge in machine learning and cloud technologies.

Key Responsibilities:

• Design, develop, and maintain scalable backend services using Core Python and frameworks such as Flask or Bottle .
• Apply strong Object-Oriented Programming (OOP) principles and efficient data structures in software design and development.
• Perform CRUD operations on MongoDB using Python libraries.
• Work with PostgreSQL , using SQLAlchemy or similar ORM libraries for database modeling and data manipulation.
• Leverage Python libraries such as Pandas and other tools for PDF and image processing tasks.
• Understand and implement basic machine learning concepts
• Integrate state-of-the-art generative AI technologies to solve complex challenges in a professional context

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**
Responsible for identifying complex problems and developing and deploying novel prototypes and algorithms to solve them. Improves accuracy and functionality of algorithms and understands the overall implications of the entire machine learning frameworks. Translates application requirements into problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to solve problems and discover new products. Provide guidance and leadership to more junior researchers. Integrates knowledge of business and functional priorities. Acts as a key contributor in a complex and crucial environment. May lead teams or projects and shares expertise.
**Job Description**
COMCAST India
Summary:
Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.
Website **-** Engineering 4** **- AI & AI Ops**
+ Full-time
+ Business Segment: GST
Job Description
+ Developed and designed platform leveraging AWS and Google Cloud services
+ 5- 8 year's experience in coding and developing in Golang, Python, R or another comparable language
+ 5 + years of experience developing code and perform pair programming reviewing using source code such as Github and Github actions
+ Hands-on- experience developing AI solutions, including working with LLMs, prompt engineering, and/or agent frameworks in collaboration with our ML/AI engineers
+ Knowledge of Rest of APIs and experience with low-code/no-code automation platforms
+ Creating and maintaining technical documentation, including design specifications, configuration, and deploymentand troubleshooting guides.
+ Experience maintaining architecture diagrams such as sequence diagrams; and software specification diagrams
+ Leading and bringing new design concepts to the portfolio and being and influencer in development strategies and techniques
+ Providing technical solutions and support to other IT teams and stakeholders on automation solutions and processes.
+ Troubleshooting and resolving issues related to IT operations automation solutions.
+ Staying up to date with latest software technologies in the marketnew technologies and designing your own engineering features that complement the platform.
Role Responsibilities
+ Lead the strategic development and implementation of the AI Ops platform and software development solutions.
+ Evaluating, identifying and developing software solutions in public and private cloud
+ Expert level experience leveraging AWS to build software and automated testing frameworks
+ Documenting and recording every aspect of an application or software
+ Training and overseeing the activities of the members of the development team
+ Planning, tracking and scheduling software deliverables in partnership with the program team.
+ Locating and directing solutions for critical challenges involving software and hardware interface
+ Develop continuous improvement techniques to identifyproblems within software systems and resolving the issues
+ Developing good working relationships with other employees, such as Managers, Product Owners, Programmers, Engineers and QA.
+ Extensive knowledge of the software development process and corresponding technologies
+ Excellent understanding of design patterns and architectural styles
+ Proficient knowledge of the operation and development designs of agile software
+ Strong soft skills, including attention to detail, problem-solving and communication skills
+ Ability to develop software in Golang, Python, or Java
+ Good understanding of enterprise service bus (ESB) platforms, graph databases, and extensive experience in AWS (MongoDB, Step Functions, SQS, Bedrock)
+ Continuously search for improvements in processes, enhancing software delivery and operational processes.
+ Migrated and decommissioned software into a core software implementation strategy
+ Experience with apis and GraphQL endpoints.
Qualifications
+ Bachelor's or master's degree in computer science, Information Technology, or a related field.
+ Experience with machine learning and artificial intelligence
+ Demonstrated success in leading the design and implementation of ITSM automation solutions, including AIOps and Event Management platforms.
+ AWS Certified
+ Proven ability to provide technical leadership, guidance, and mentorship to development teams.
+ Experience defining and managing automation projects with a focus on strategic goals.
+ Excellent collaboration skills with a track record of working effectively with cross-functional teams, IT leaders, and stakeholders.
+ Strong verbal and written communication skills to convey technical concepts to both technical and non-technical audiences.
+ Ability to troubleshoot and resolve complex technical issues.
+ Proven ability to create and maintain comprehensive technical documentation, including design specifications, configuration, and deployment guides.
+ Willingness to explore and incorporate new technologies into existing solutions.
+ Experience in constantly seeking improvements in processes to enhance software delivery and operational efficiency.
+ Track record of growing and managing diverse technical teams.
+ Demonstrated commitment to mentoring individuals to embrace diversity and contribute to building an inclusive and flexible workplace.
+ Committed to quality in every assignment, large or small.
+ Transparency, selflessness, and authenticity.
Compliance
Disclaimer The above information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an EEO/AA/Drug Free Workplace. Comcast is an equal opportunity employer.
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary ( on our careers site for more details.
**Education**
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
**Relevant Work Experience**
7-10 Years
**Job Family Group:** Information Technology

**Job Summary**
We are seeking a highly skilled Data Scientist with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Machine Learning Artificial Intelligence and Natural Language Processing. Experience in Medicare & Medicaid Claims Claims and Payer domains is essential. This is a hybrid work model with day shifts and no travel required.
**Responsibilities**
+ Develop and implement advanced machine learning models to analyze complex datasets.
+ Utilize artificial intelligence techniques to enhance data processing and predictive analytics.
+ Apply natural language processing to extract meaningful insights from unstructured data.
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
+ Conduct thorough data analysis to identify trends patterns and anomalies in Medicare & Medicaid Claims data.
+ Design and execute experiments to test hypotheses and validate models.
+ Ensure data integrity and accuracy by performing rigorous data cleaning and preprocessing.
+ Create detailed documentation of methodologies processes and findings for future reference.
+ Provide actionable insights and recommendations to stakeholders based on data analysis.
+ Optimize existing models and algorithms to improve performance and scalability.
+ Stay updated with the latest advancements in machine learning artificial intelligence and natural language processing.
+ Mentor and guide junior data scientists in best practices and advanced techniques.
+ Communicate complex technical concepts to non-technical stakeholders effectively.
**Qualifications**
+ Possess a strong background in machine learning artificial intelligence and natural language processing.
+ Have extensive experience working with Medicare & Medicaid Claims Claims and Payer domains.
+ Demonstrate proficiency in programming languages such as Python or R.
+ Exhibit excellent problem-solving skills and the ability to work independently.
+ Show strong analytical skills with the ability to interpret complex data.
+ Have experience with data visualization tools like Tableau or Power BI.
+ Possess a solid understanding of statistical analysis and modeling techniques.
+ Be familiar with cloud platforms such as AWS Azure or Google Cloud.
+ Demonstrate excellent communication and collaboration skills.
+ Have a proven track record of delivering high-quality data science projects.
+ Show the ability to manage multiple projects and meet deadlines.
+ Exhibit a continuous learning mindset and stay updated with industry trends.
+ Hold a relevant certification in data science or machine learning.
Cognizant is an equal opportunity 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.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**
Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.
**Job Description**
**Position Summary**
We are looking for a Machine Learning Engineer to join our team of ML practitioners and engineers passionate about solving high-impact personalization problems. This role is ideal for someone with a strong ML foundation, a love for clean, scalable code, and a desire to grow by owning and shipping production-ready models.
You will work with large-scale behavioural datasets, develop and evaluate recommendation and ranking models, and partner cross-functionally to deliver features that directly influence how millions of users interact with our platforms.
**Key Responsibilities**
+ Model Development: Design, train, and optimize ML models for personalized ranking, search relevance, and engagement metrics.
+ Data Analysis: Analyse large-scale behavioural/product datasets to guide model features and product strategies.
+ Production Integration: Collaborate with senior engineers to ship models into production with performance and reliability in mind.
+ Experimentation: Support A/B testing, fast iteration, and hypothesis-driven personalization improvements.
+ Collaboration: Work closely with data scientists, product managers, and designers to turn business goals into ML-driven solutions.
**Tech Stack: Machine Learning Engineer/Researcher**
**Programming Languages**
+ Python
**Machine Learning Frameworks**
+ PyTorch
+ TensorFlow
**Data Manipulation & Processing**
+ Pandas
+ Apache Spark
**ML Lifecycle & Workflow Tools**
+ MLflow
+ Apache Airflow
**Version Control**
+ Git
**Conceptual/Algorithm Knowledge**
+ Supervised and unsupervised learning
+ Generative models
+ Ranking algorithms
+ Basic statistics
**Others**
+ A/B Testing and Experimentation
+ Production integration and deployment of ML models
+ Cross-functional collaboration (Product, UX, Engineering)
Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary ( on our careers site for more details.
**Education**
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
**Relevant Work Experience**
5-7 Years
**Job Family Group:** Information Technology

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**
A senior-level data science role responsible for designing, developing, and implementing advanced time series forecasting models to predict future trends based on historical data.
**Job Description**
**Core Responsibilities**
+ Lead the design and development of complex time series forecasting models using various techniques like ARIMA, Exponential Smoothing, Seasonal Decomposition, Prophet, LSTM networks, and other cutting-edge algorithms based on business needs.
+ Thoroughly analyze large volumes of time series data to understand patterns, trends, seasonality, and potential anomalies.
+ Fine-tune LLM models and work on time series models.
+ Prototype and develop solutions for ML/LLM operations and Applied AI.
+ Lead a team of data scientists and engineers focused on time series forecasting projects.
+ Provide technical guidance, mentorship, and knowledge transfer to team members on time series analysis techniques and best practices.
**Employees at all levels are expected to:**
+ Understand our Operating Principles; make them the guidelines for how you do your job.
+ Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
+ Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
+ Win as a team - make big things happen by working together and being open to new ideas.
+ Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
+ Drive results and growth.
+ Respect and promote inclusion & diversity.
+ Do what's right for each other, our customers, investors and our communities.
**Disclaimer:**
+ This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary ( on our careers site for more details.
**Education**
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
**Relevant Work Experience**
7-10 Years
**Job Family Group:** Information Technology

Role**: Engineer

Required Technical Skill Set**Artificial Intelligence/ Machine Learning

Experience: 5 to 10 Years

Location: Hyd, Noida, Chennai, Mumbai

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.

Supervised and unsupervised ML and Predictive Analytics using Python

• Feature generation through data exploration and SME requirements

• Relational database querying

• Applying computational algorithms and statistical methods to structured and unstructured data

• Communicating results through data visualizations

Programming Languages: Python, PySpark

• Big Data Technologies: Spark with PySpark

• Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)

• RBAC Maintenance for Azure roles.

• Github branching and managing

• Terraform scripting for Azure IAA

• Optional: GCP (Big Query, DataProc, Cloud Storage

Good-to-Have

Responsibility of / Expectations from the Role

Designing, developing, and deploying AI solutions on the Azure platform