AI/ML & MLOps Engineer :Columbus,OH / Wilmington,DE / Plano, TX / Jersey City, NJ(Hybrid) : FTE — Columbus, Ohio Metropolitan Area

Job Role : AI/ML & MLOps Engineer

Location : Columbus, OH

Experience: 06-08+ years of experience

Job Type : Full time Permanent

Salary range : CAD $ K/ year +Benefits.

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.