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AI​/ML Engineer​/AI Ops Engineer

Job in Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Tata Consultancy Service Limited
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Engineer/ AI Ops Engineer
Role Summary

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 (Tensor Flow/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 Dev Ops practices applied to ML workloads (MLOps).

Preferred / Nice to Have

- Experience with feature stores, model registries, and model monitoring stacks.

- GPU optimization and distributed training experience.

- Experience with responsible AI toolkits and compliance requirements.

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.

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