Azure AI/ML Engineer

Must Have Technical/Functional Skills

Azure; Core .NET Technologies; Azure ML

Roles & 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.

Generic Managerial Skills, If any

Open AI; DevOps

Salary Range: $90,000 - $130,000 a year

#LI-NS4

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.