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Mlops Engineer Jobs in Indiana (NOW HIRING)

The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...

... engineering, and evaluation frameworks - Experience with distributed systems, APIs, microservices, and Kubernetes - Familiarity with MLOps/LLMOps pipelines and cloud AI platforms - Experience working ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

Access, prepare, and engineer features from data processed through Apache Spark and AWS data ... Familiarity with MLOps practices and model deployment/monitoring * Prior experience supporting ...

We are seeking an AI Agent Developer to design, build, and operationalize agentic AI solutions that ... MLOps/LLMOps & Governance * Manage agent lifecycle using MLflow 3.0 for experiment tracking, prompt ...

Solution Architect

Indianapolis, IN · On-site

$55.25 - $72.75/hr

... MLOps practices for model lifecycle management • Hands-on experience with AI services on cloud platforms (AWS SageMaker, Azure ML, Google Vertex AI) • Knowledge of prompt engineering and fine ...

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build. * Lead cloud-native ...

Google AI Lead Architect

Indianapolis, IN

$52.75 - $72.50/hr

Define end-to-end architectures across data pipelines, feature engineering, model lifecycle, APIs/microservices, and CI/CD/MLOps/LLMOps with Vertex AI Pipelines and Cloud Build. * Lead cloud-native ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Partners effectively across business, research, engineering, analytics, and product teams ... Experience with cloud-native ML environments, distributed computing, and MLOps practices highly ...

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Showing results 41-60

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 14, 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.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

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 does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.

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 cities in Indiana are hiring for Mlops Engineer jobs?

Cities in Indiana with the most Mlops Engineer job openings:

Infographic showing various Mlops Engineer job openings in Indiana as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $147,859 per year, or $71.1 per hour.

MXPN- Hybrid- Computer Engineer IV (UI/UX SME)- Remote with Security Clearance

Barbaricum

Shawnee Mission, KS • On-site

Other

Re-posted yesterday


Job description

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum is seeking a highly experienced Computer Engineer IV (UI/UX SME) to support Software & Cyber Engineering for Maneuver, Surveillance, & Engagement Systems at NSWC Crane. This position will lead efforts in engineering, building, testing, and deploying advanced cloud-enabled AI/ML solutions that enhance warfighter capabilities in surveillance, targeting, and engagement operations. The expectation for this remote position with occasional travel to work on-site in Crane, IN. Responsibilities : * Partner with project managers and engineering teams to define objectives for UI/UX systems in support of maneuver, surveillance, and engagement missions. * Develop and prototype UI/UX systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications. * Conduct rigorous testing and evaluation of UI/UX performance against operational datasets. * Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and optimize systems to ensure robustness, scalability, and cyber resilience. * Troubleshoot complex system challenges and provide technical guidance for deployed solutions. * Deliver comprehensive documentation and technical reports to stakeholders. * Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems. Qualifications : * Active DoD Secret Clearance; Top Secret preferred. * Bachelor's degree in Computer Science, Engineering, or related technical discipline; Master's preferred. * 10+ years of progressive experience in UX Design and software development. * Expertise in developing, deploying, and securing applications within mission-critical or defense environments. * Data science, dashboard development, interface design, system/data architecture; experience with the Qlik tool is a plus, but not required. * 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, secure coding, and vulnerability mitigation. * Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders. * DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained. EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.