ML Engineer
About the role
Job Description
Must Have Technical/Functional Skills
1+ years of experience building, scaling, and optimizing ML systems
1+ years of experience with data gathering and preparation for ML models
2+ years of experience developing performant, resilient, and maintainable code
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
3+ years of experience with distributed file systems or multi-node database paradigms
3+ years of experience building production-ready data pipelines that feed ML models.
Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
Roles & Responsibilities
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.
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range-$110,000-$140,000 a year
Responsibilities
- Design, build, and/or deliver ML models and components that solve real-world business problems
- Inform ML infrastructure decisions using understanding of ML modeling techniques
- Solve complex problems by writing and testing application code and developing ML models
- Collaborate as part of a cross-functional Agile team to create and enhance software
- Retrain, maintain, and monitor models in production
- Leverage or build cloud-based architectures to deliver optimized ML models at scale
- Construct optimized data pipelines to feed ML models
- Leverage continuous integration and continuous deployment best practices
Qualifications
- 1+ years of experience building, scaling, and optimizing ML systems
- 1+ years of experience with data gathering and preparation for ML models
- 2+ years of experience developing performant, resilient, and maintainable code
- Experience developing and deploying ML solutions in a public cloud
- 3+ years of experience with distributed file systems or multi-node database paradigms
- 3+ years of experience building production-ready data pipelines
Benefits
- Discretionary Annual Incentive
- Comprehensive Medical Coverage
- Maternal & Parental Leaves
- Auto & Home Insurance, Identity Theft Protection
- Commuter Benefits & Certification & Training Reimbursement
- Vacation, Time Off, Sick Leave & Holidays
- Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
Skills mentioned
About Tata Consultancy Services
Tata Consultancy Services (TCS) is the technology partner of choice for industry leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence, and customer service. It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 55 countries and 202 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients – helping them emerge as perpetually adaptive enterprises. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today. TCS sponsors 14 of the world’s most prestigious marathons and endurance events, including the TCS New York City Marathon, TCS London Marathon and TCS Sydney Marathon with a focus on promoting health, sustainability, and community empowerment. Caution against fraudulent job offers: TCS doesn’t charge any fee throughout the recruitment process. Refer here: https://www.tcs.com/careers/india/recruitment-fraud-alert