Ai Ml Mlops Engineer

Job Title: AI/ML & MLOps Engineer

Location: Columbus, OH / Wilmington, DE / Plano, TX / Jersey City, NJ

Full Time

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.