Ai/ml & Mlops Engineer

Tata Consultancy Services; Columbus (OH); Presencial; USD 85.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary Annual Incentive

Comprehensive Medical Coverage (Health

Family Support: Leave & Insurance

Commuter Benefits & Certification & Re

Vacation & Holidays

Descripción de la vacante

Tata Consultancy Services Limited in Columbus, OH seeks an AI/ML & MLOps Engineer to design, deploy and operate resilient AI/ML solutions using Databricks AI Ops and AWS MLOps, with automation, CI/CD, model hosting, monitoring and production reliability.

The role focuses on building Databricks environments, deploying DABs via CI/CD, implementing MLOps, provisioning infra with Terraform, and integrating GenAI models. Strong Python and monitoring skills are essential.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Databricks AI Ops

AWS MLOps

Terraform

CI/CD

Python for AI/ML workloads

Model hosting & deployment

Herramientas

CloudWatch

Splunk

Descripción del empleo

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.

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

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

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Location

Columbus, OH

Function: TECHNOLOGY

Role: Engineer

ID: 436145

Skills: SQL

Salary Range: $85,000 - $110,000