Job description

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 #LI-SP3 #LI-VX1 </div

Requirements

Must-haves

AI/ML & MLOps Engineer
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.
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.

Nice-to-haves

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.

Application prep

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Keywords to mirror

aimlawsci/cdsqlpythongcpllm

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave