Senior AI ML Engineer
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Role details
Tech stack
Job description
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Design and deliver AI/ML, Agentic AI, and LLM-based solutions end to end
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Translate business needs into scalable AI architectures and measurable outcomes
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Build RAG pipelines, embeddings, vector search, and LLM orchestration workflows
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Develop agentic workflows, prompt strategies, and system guardrails
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Optimize AI systems for performance, cost, scalability, and reliability
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Implement MLOps/CI-CD, monitoring, drift detection, and lifecycle management
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Ensure production-grade data pipelines with validation, lineage, and reproducibility
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Mentor engineers and drive responsible AI governance and architecture decisions
Requirements
Do you have experience in Scalable systems?, Do you have a Bachelor’s degree?, * Hands on experience building ML/LLM based applications
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Proven expertise with embeddings, vector databases, and retrieval pipelines
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Experience designing agent workflows, prompt strategies, and orchestration
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Strong Python skills with frameworks like LangChain, LlamaIndex, PyTorch, etc.
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CI/CD, scalable model deployment, monitoring, and lifecycle managemen, Qualifications : BACHELOR OF COMPUTER SCIENCE
Benefits & conditions
Pulled from the full job description
- Pet insurance
- Health insurance
- Vision insurance
- Dental insurance
- Commuter assistance, Salary Range: $120,000-$140,000 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.
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