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.
More Information
Application Details
- Organization DetailsTCS / Tata Consultancy Services
Recommended Comments
There are no comments to display.
Join the conversation
You are posting as a guest. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.