Tata Consultancy Services
AI/ML Engineer – Tata Consultancy Services
Develop generative AI algorithms and models for creating new data samples, patterns, or content.
Responsibilities
Implement ML techniques including supervised, unsupervised, deep learning, and NLP.
Build and deploy solutions using Python, integrating LLMs, RAG, and agentic AI workflows.
Deploy models on Azure, GCP, and AWS with robust CI/CD practices and containerization.
Optimize models for performance, cost, and reliability through systematic experimentation.
Collaborate with cross-functional teams to translate requirements into scalable solutions.
Integrate observability and monitoring for production AI systems.
Maintain compliance and security standards across deployments.
Qualifications
Bachelor of Computer Science (or related field).
Salary $110,000 – $140,000 per year.
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.
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Responsibilities
Implement ML techniques including supervised, unsupervised, deep learning, and NLP.
Build and deploy solutions using Python, integrating LLMs, RAG, and agentic AI workflows.
Deploy models on Azure, GCP, and AWS with robust CI/CD practices and containerization.
Optimize models for performance, cost, and reliability through systematic experimentation.
Collaborate with cross-functional teams to translate requirements into scalable solutions.
Integrate observability and monitoring for production AI systems.
Maintain compliance and security standards across deployments.
Qualifications
Bachelor of Computer Science (or related field).
Salary $110,000 – $140,000 per year.
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.
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