Senior AI/ML Engineer

Job description

Must Have Technical/Functional Skills Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.

Key Responsibilities

• Translate data science prototypes into production-grade ML services and pipelines.
• Build training and inference code with reproducibility, versioning, and automated testing.
• Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
• Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
• Collaborate with Data Engineering on feature pipelines and data contracts.

Own production health

• drift detection, performance regression, rollback strategies, and incident response. Required Qualifications - 5+ years software engineering with 2+ years shipping ML models to production.
• Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
• Experience with containers and orchestration (Docker/Kubernetes) and API development.
• Understanding of ML system design (data leakage, training-serving skew, drift). - CI/CD and DevOps practices applied to ML workloads (MLOps).

Salary Range

$100,000- $120,000 a year 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 & amp; Training Reimbursement.

Time Off

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Qualifications

BACHELOR OF COMPUTER SCIENCE