Azure AI/ML Engineer

Tata Consultancy Services is hiring an Azure AI/ML Engineer to design, build, deploy, and maintain end-to-end machine learning solutions. The role focuses on data pipelines, ML model implementation, secure Azure infrastructure, and MLOps/CI/CD pipelines, with potential work on custom copilots and intelligent agents.

Responsibilities

An ML Engineer designs, builds, deploys, and maintains end to end machine learning solutions across data ingestion, model training, and production deployment systems

Capable of developing data pipelines and implementing ML models using Python while also having a basic understanding of integrating models into existing application layers (APIs / services)

Microsoft SFI knowledge and experience in creating secure ML infrastructure aligned with enterprise security standards

Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access

Good to have AI engineering skills as team is building custom co pilots and intelligent agents

Preferred

AI engineering skills

AI Engineering

Benefits

Discretionary Annual Incentive

Medical & Health coverage

Dental & Vision coverage

Disability Planning & Insurance

Pet Insurance Plans

Maternal & Parental Leaves

Auto & Home Insurance

Identity Theft Protection

Commuter Benefits

Certification & Training Reimbursement

Vacation, Time Off, Sick Leave & Holidays

Legal Assistance

401K Plan

Performance Bonus

College Fund

Student Loan Refinancing

Company

AI-led technology services for global enterprises

Mumbai, Maharashtra, IND

http://www.tcs.com/

Founded in 1968

10001+ employees

Qualifications

Azure; Core .NET Technologies; Azure ML

Capable of developing data pipelines and implementing ML models using Python

basic understanding of integrating models into existing application layers (APIs / services)

Microsoft SFI knowledge and experience in creating secure ML infrastructure aligned with enterprise security standards

Capable of building and maintaining MLOps / CI CD pipelines for automated model training, validation, and deployment using secure connections and identity based access

Basic understanding of integrating models into existing application layers (APIs / services)

AI engineering skills

Required skills

Represents the skills you have, click on the tags, Core .NET Technologies, OpenAI, DevOps

Preferred skills

AI engineering skills

Experience

Mid level