ZipRecruiter

Log In

1

Mlops Engineer Jobs Near Me

Huntington

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$100K - $131K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and deploying MLOps Automation for some of Huntington's most valuable and most challenging data-driven projects.

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and MLOps knowledge who can lead technical initiatives and deliver scalable AI solutions. Key ...

The Hartford

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Follow and promote software engineering, DataOps, and MLOps best practices. Minimum Requirements * Must be authorized to work in the U.S. now and in the future. * Bachelor's degree in Computer ...

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join ... Familiarity with Docker, Kubernetes, CI/CD , and MLOps practices. * Strong understanding of ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

AI Engineer Location: Columbus, OH (Onsite) We are looking for an experienced AI Engineer to join ... Familiarity with Docker, Kubernetes, CI/CD , and MLOps practices. * Strong understanding of ...

New

ultimus

Senior AI Engineer

Columbus, OH

$100K - $138K/yr

Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency * Mentor junior engineering staff and advise the Managing Director on technical ...

Judge Group, Inc.

DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

... Engineer (GitOps / Kubernetes / AWS) Location: Columbus, OH (Onsite) Job Type: Contract-to-Hire ... Experience with MLOps or AI/ML platforms (Kubeflow, model pipelines) * Knowledge of deployment ...

The Hartford

Sr AI Machine Learning Engineer

Columbus, OH · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

next page

Showing results 1-20

All JobsMlops Engineer JobsMlops Engineer Jobs Near Me

Mlops Engineer information

What are popular job titles related to Mlops Engineer jobs? For Mlops Engineer jobs, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs look for? The top searched job categories for Mlops Engineer jobs are:
What cities are hiring for Mlops Engineer jobs? Cities with the most Mlops Engineer job openings:
What states have the most Mlops Engineer jobs? States with the most job openings for Mlops Engineer jobs include:
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
Mlops Engineer jobs near you
A map of the United States highlighting the number of Mlops Engineer job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Mlops Engineer job openings in each state, with California having the most at 2 and Hawaii the least at 0.

MLOps Engineer (Databricks/AWS)

Inabia Solutions and Consulting, Inc.

Columbus, OH • On-site

Contractor

Posted 21 days ago

Job description

Overview
Inabia is seeking an MLOps Engineer (Databricks/AWS) to design, develop, and maintain end-to-end machine learning operations pipelines on Databricks running on AWS. This role demands deep hands-on expertise with Databricks Machine Learning, MLflow, and a broad suite of AWS services to build scalable, production-grade ML systems. The ideal candidate will partner closely with Data Scientists, Data Engineers, and Platform Engineering teams to productionize models and ensure robust, governed, and cost-efficient deployments.
Locations: Columbus, OH - Dallas, TX - Atlanta, GA (Onsite only)
Responsibilities
  • Design, develop, and maintain end-to-end MLOps pipelines on Databricks running on AWS.
  • Build and automate machine learning workflows covering data preparation, feature engineering, model training, evaluation, deployment, and monitoring.
  • Deploy and manage ML models using MLflow Model Registry and Databricks Model Serving.
  • Develop and maintain CI/CD pipelines for ML solutions across development, staging, and production environments.
  • Collaborate with Data Scientists to productionize machine learning models and ensure reliable, repeatable deployments.
  • Monitor model health, prediction quality, data drift, and system performance, and implement automated retraining strategies where required.
  • Optimize Databricks workloads for performance, scalability, and cost efficiency.
  • Implement Infrastructure as Code using Terraform to provision and manage Databricks and AWS resources.
  • Ensure platform security, governance, and compliance using Unity Catalog and AWS IAM.
  • Troubleshoot production issues, perform root cause analysis, and continuously improve platform reliability.
  • Document MLOps processes, deployment standards, and operational best practices.

Key Qualifications
  • 10+ years of relevant experience in MLOps or a closely related data/ML engineering discipline.
  • Strong hands-on experience with Databricks Machine Learning.
  • Proficiency in Python, PySpark, and SQL for developing and operationalizing machine learning solutions.
  • Hands-on experience with MLflow for experiment tracking, model registry, model versioning, and lifecycle management.
  • Experience deploying and managing machine learning models using Databricks Model Serving and batch inference pipelines.
  • Strong understanding of the end-to-end ML lifecycle, including feature engineering, training, validation, deployment, monitoring, and retraining.
  • Experience building scalable ML pipelines using Databricks Workflows and Delta Lake.
  • Hands-on experience with AWS services including S3, IAM, EC2, Lambda, ECR, ECS/EKS, CloudWatch, and Secrets Manager.
  • Experience implementing CI/CD pipelines for Databricks and ML workloads using Git, Bitbucket, Jenkins, and Databricks Asset Bundles (DAB).
  • Experience with infrastructure automation using Terraform.
  • Strong understanding of Apache Spark architecture, optimization, and distributed data processing.
  • Experience working with Unity Catalog for governance, security, and access management.
  • Knowledge of model monitoring, data drift detection, and automated retraining strategies.
  • Understanding of MLOps best practices including reproducibility, versioning, testing, and governance.
  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with multi-environment Databricks deployments spanning development, staging, and production.
  • Familiarity with cost optimization strategies for large-scale Databricks and AWS workloads.
  • Prior experience documenting MLOps operational standards for cross-functional teams.

Apply