AI/ML & MLOps Engineer

Role: Engineer

Required Skills: SQL

Experience: 6 - 8 Years

Function: TECHNOLOGY

Apply By: 2026-12-13

AI/ML & MLOps Engineer

Role Overview

Design, deploy and operate resilient AI/ML solutions using Databricks AI Ops and AWS MLOps, with infrastructure automation, CI/CD, model hosting, monitoring and production reliability.

Key Responsibilities

• Build and operate Databricks environments including Unity Catalog, Genie One, SQL Warehouse and compute.
• Develop and deploy Databricks Asset Bundles (DABs) through CI/CD pipelines.
• Implement MLOps practices for model versioning, deployment, monitoring and management.
• Provision cloud infrastructure using Terraform.
• Use AWS services including Sage Maker, S3, ECS, EKS, Lambda, Event Bridge and SSM Parameter Store.
• Develop Python-based AI/ML and model-hosting services.
• Integrate approved GenAI models such as OpenAI, Claude or GCP LLMs where required.
• Implement observability dashboards, alerts and production monitoring.
• Design for resilience, scalability, security and operational support.

Mandatory Skills

• Hands-on Databricks AI Ops and scalable ML pipeline experience.
• AWS MLOps experience using relevant model-hosting and orchestration services.
• Terraform and infrastructure-as-code capability.
• CI/CD and deployment automation.
• Python for AI/ML workloads.
• Production model deployment, monitoring and troubleshooting.

Preferred Skills

• Experience with FastAPI, Django, TensorFlow or PyTorch.
• CloudWatch and Splunk monitoring.
• Model drift detection, retraining and operational governance.
• Experience with Generative AI and LLM integrations.

Candidate Profile

• Broad AI/ML engineering profile with overlapping Databricks, AWS and MLOps depth.
• Able to own production reliability and collaborate with data scientists, engineers and business teams.
• Strong communication and regulated-enterprise delivery discipline.

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 Loa n Refinancing.

• Salary Range- $85,000-$110,000 a year

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