Senior AI ML Engineer

Tata Consultancy Services; Chicago (IL); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

401K Plan

Certification & Training Reimbursement

Vacation, Time Off, Holidays

Job summary

Tata Consultancy Services in Chicago is seeking an advanced AI/ML engineer to design, build, and deploy AI/ML solutions across the full lifecycle from experimentation to production.

You will develop ML models and LLM-powered RAG/agent systems, design embeddings and orchestration patterns, own end-to-end implementation, deployment, and operations, and champion responsible AI governance.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience with Databricks and Azure AI Foundry in regulated environments.
• Strong background in ML engineering, production deployment, and MLOps.

Responsibilities

• Design, build, and deploy AI/ML solutions.
• Lead full AI lifecycle from experimentation to production.
• Build ML models and LLM-powered RAG/agent systems.
• Translate business challenges into AI solutions and KPIs.
• Design embeddings/vector search and orchestration patterns.
• Own end-to-end implementation, deployment, and operations.
• Evaluate performance with automated and human-in-the-loop methods.
• Optimize latency, cost, scalability, reliability.
• Implement CI/CD, MLOps, monitoring, drift detection, retraining.
• Mentor and promote responsible AI governance.

Skills

Databricks

Azure AI Foundry

ML engineering

production ML deployment

RAG systems

Agentic AI

Python

FastAPI/MLflow

vector databases

embeddings

LangChain

CI/CD

containerization

cloud deployment

MLOps

model monitoring

governance

Education

Bachelor of Computer Science

Job description

Job Description

Must Have Technical/Functional Skills

• Databricks and Azure AI Foundry must-have
• ML engineering/Applied AI
• production ML deployment
• RAG and Agentic AI systems
• Python
• model serving frameworks and API development such as FastAPI/MLflow
• vector databases and embeddings
• LangChain/LlamaIndex or similar orchestration
• CI/CD
• containerization
• cloud deployment
• predictive ML and agentic evaluation
• MLOps/model monitoring preferred
• regulated/high-compliance environments preferred

Roles & Responsibilities

• Design, build, and deploy AI/ML solutions
• lead full AI lifecycle from experimentation to production
• build ML models and LLM-powered RAG/agent systems
• translate business challenges into AI solutions and KPIs
• design embeddings/vector search and orchestration patterns
• own end-to-end implementation, deployment, and operations
• evaluate performance with automated and human-in-the-loop methods
• optimize latency, cost, scalability, reliability
• implement CI/CD, MLOps, monitoring, drift detection, retraining, lifecycle management
• mentor and promote responsible AI governance

Generic Managerial Skills, If any

• Autonomous ownership
• mentoring
• architecture influence
• curiosity and emerging-AI mindset
• cross-functional collaboration

Salary Range: $120,000 -$130,000 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 & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Qualifications:

BACHELOR OF COMPUTER SCIENCE