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Mlops Engineer Jobs in Indiana (NOW HIRING)

CSAA

MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ... Partner with engineering and business teams to rapidly restore service and minimize operational ...

Gainbridge

Staff ML Engineer

Zionsville, IN · On-site

$190 - $215/hr

As a Staff ML Engineer you'll focus on the MLOps and infrastructure layer that makes ML production‑ready: model serving, feature pipelines, experiment tracking and CI/CD for ML. You'll help shape ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...

Vergence

Senior AI/ML Engineer

Bedford, IN

$93K - $128K/yr

Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow). * Strong background in software and cyber engineering principles, including system hardening ...

Virtusa Corporation

GCP Architect

Columbus, IN · On-site

$59.25 - $76.25/hr

... Engineer, GCP Professional Cloud Architect AI, Machine Learning & MLOps Machine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management ...

Motorola

End-to-End MLOps and Deployment: Own the entire engineering lifecycle for central, reusable computer vision models and foundational AI infrastructure. This includes establishing best-in-class MLOps ...

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All JobsMlops Engineer JobsMlops Engineer Jobs in Indiana

Mlops Engineer information

See Indiana salary details

$94.2K

$147.9K

$171.6K

How much do mlops engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for mlops engineer in Indiana is $147,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,021.00 and $159,363.00 per year, depending on experience, location, and employer.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

What are the key skills and qualifications needed to thrive as an MLOps engineer, and why are they important?

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What do you need to be a MLOps engineer?

To become a MLOps engineer, you typically need a strong background in software engineering, machine learning, and cloud platforms. Proficiency in programming languages like Python, experience with containerization tools such as Docker, and knowledge of CI/CD pipelines are essential. Certifications in cloud services and familiarity with tools like Kubernetes and ML frameworks also enhance qualifications.

Who earns more, ML engineer or MLOps engineer?

MLOps engineers typically earn slightly more than ML engineers due to their focus on deploying, maintaining, and scaling machine learning systems, which requires expertise in cloud platforms, automation, and infrastructure. Salary differences can vary based on experience, location, and company size, but MLOps roles often command higher compensation because of their specialized skill set.

What are the most commonly searched types of Mlops Engineer jobs in Indiana?

The most popular types of Mlops Engineer jobs in Indiana are:

What are popular job titles related to Mlops Engineer jobs in Indiana?

For Mlops Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Mlops Engineer jobs in Indiana look for?

The top searched job categories for Mlops Engineer jobs in Indiana are:

What cities in Indiana are hiring for Mlops Engineer jobs?

Cities in Indiana with the most Mlops Engineer job openings:

Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $147,859 per year, or $71.1 per hour.

Staff ML Platform Engineer (MLOps & Infra)

Gainbridge

Zionsville, IN • On-site

$190 - $215/hr

Other

Medical

Posted 5 days ago

Job description

Gainbridge is seeking a Staff ML Engineer to lead MLOps initiatives and contribute to the development of AI/ML products. Your expertise will help shape the ML platform and ensure reliable ML workloads run efficiently on our stack.

This role involves defining integrations, establishing CI/CD pipelines, and mentoring other engineers. Candidates should have extensive experience in ML engineering, with solid technical skills in AWS, model serving, and CI/CD practices.

Additionally, you will benefit from comprehensive health insurance and a competitive salary structure ranging from $190,000 to $215,000 annually.

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