ZipRecruiter

Log In

1

Manager Mlops Engineer Jobs in Indiana (NOW HIRING)

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

DataOps / MLOps Enablement: * Implement CI/CD practices for data and ML workflows, including ... Collaborate with data engineers, researchers, analysts, and project managers to deliver high ...

Guidehouse

Model Validation Lead

Indianapolis, IN · On-site

... risk management of advanced analytics, machine learning, and AI models deployed in federal ... You will work closely with data scientists, MLOps engineers, system owners, risk stakeholders, and ...

Group1001

Staff ML Engineer

Zionsville, IN

... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...

Group1001

Staff ML Engineer

Zionsville, IN · On-site

... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...

Roche

AI Full Stack Engineer

Indianapolis, IN · On-site

Implements and Manages MLOps Infrastructure: Establishes and maintains the CI/CD/CT (Continuous ... Previous software engineering management and project management experience. * Extensive stakeholder ...

INFOSYS NOVA HOLDINGS LLC

Lead Engineer

Indianapolis, IN · On-site

$97K - $129K/yr

... MLOps, translating experimental NLP and generative AI workflows into robust, observable, and ... Model Hosting, Fine-Tuning & Lifecycle Management · Deploy and manage fine-tuned and parameter ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Partner with project managers and engineering teams to define objectives for AI/ML systems in ... Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch ...

Allied Solutions LLC

Senior AI Architect

Carmel, IN · On-site

... with DevOps and MLOps teams to standardize CI/CD practices for AI models. • Conduct technical ... management teams on technical assessments. Qualifications : Required : • Bachelor's degree in ...

Deloitte

AI Engineer Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Non-Management Exempt Workshift: 1st Shift (United States of America) Job Family: IFT > Artificial ...

Deloitte

AI Data Engineer - Senior Consultant

Indianapolis, IN · Hybrid

$99K - $137K/yr

... MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management ... AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Work closely with the MLOps team to create and maintain robust evaluation solutions and tools to ... Excellent written & verbal communication and stakeholder management skills. * 4+ years project ...

Deloitte

AI Data Engineer - Manager

Indianapolis, IN · On-site

$109K - $131K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and ...

Performacentric

ML Engineer

Indianapolis, IN · On-site +1

Integrate AI solutions with CRM, ERP, communication, and business systems. * Implement ... ML Engineering and MLOps practices. * LangChain, LlamaIndex, Haystack, or similar frameworks.

Motorola

End-to-End MLOps and Deployment: Own the entire engineering lifecycle for central, reusable ... Technical Innovation and Risk Management: Evaluate and integrate cutting-edge computer vision ...

Pwc

ERP AI Engineer - Manager

Indianapolis, IN

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ... with MLOps tooling and CI/CD pipelines for ML - Experience with vector databases and semantic ...

next page

Showing results 1-20

All JobsManager Mlops Engineer JobsManager Mlops Engineer Jobs in Indiana

Manager Mlops Engineer information

What is the difference between Manager Mlops Engineer vs Data Scientist?

AspectManager Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with MLOps toolsDegree in Data Science, Statistics, or related; proficiency in programming and analytics
Work EnvironmentCollaborates with engineering and operations teams to deploy ML modelsAnalyzes data, builds models, and interprets results for business insights
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsCommon across tech, marketing, research for data analysis and modeling

The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.

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 Manager Mlops Engineer jobs in Indiana? For Manager Mlops Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Manager Mlops Engineer jobs in Indiana look for? The top searched job categories for Manager Mlops Engineer jobs in Indiana are:
What cities in Indiana are hiring for Manager Mlops Engineer jobs? Cities in Indiana with the most Manager Mlops Engineer job openings:
Manager Mlops Engineer jobs near you

Data Systems/Solutions Engineer

RR

Indianapolis, IN • On-site

$109K - $131K/yr

Full-time

Life, Retirement, PTO

Posted 24 days ago

Key responsibilities

  • Design, build, and maintain data platforms, pipelines, and services that support research, analytics, and AI/ML workloads.

  • Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes.

  • Collaborate with data engineers, researchers, analysts, and project managers to deliver high-quality solutions.

Job description

Position Summary
The Data Systems / Solutions Engineer serves as a key technical contributor within the Regenstrief Data Services team, functioning as a full-stack DataOps/MLOps engineer supporting research and analytics initiatives. This role is responsible for designing, building, and maintaining scalable, reliable data systems and pipelines that enable high-quality data ingestion, transformation, storage, and analysis.
The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software engineering and data engineering practices to ensure data assets are accessible, well-governed, and aligned with clinical and research requirements.
This position is a hybrid position with at least one (1) to two (2) days of onsite activity based on business needs. This position is located in downtown Indianapolis IN.
Essential Duties and Responsibilities
Data Systems Engineering and Operations:
  • Design, build, and maintain data platforms, pipelines, and services that support research, analytics, and AI/ML workloads.
  • Develop and maintain scalable data architectures using modern data warehouse/lakehouse patterns.
  • Ensure data systems are reliable, performant, and designed for long-term sustainability.
  • Implement and maintain ETL/ELT workflows, data validation, and quality monitoring processes.

DataOps / MLOps Enablement:
  • Implement CI/CD practices for data and ML workflows, including testing, version control, and environment promotion.
  • Support reproducible analytics and ML pipelines, including experiment tracking and model lifecycle considerations.
  • Apply best practices for monitoring, observability, and incident response across data systems.

Cloud, Security, and Governance
  • Design and maintain cloud-based data solutions using secure and scalable architectural patterns.
  • Apply data governance, access control, and auditing practices consistent with HIPAA-aligned research environments.
  • Ensure appropriate handling of sensitive data through de-identification, access management, and compliance controls.
  • Optimize performance and cost efficiency across compute and storage resources.

Clinical and Research Data Support
  • Work with clinical and research stakeholders to translate domain requirements into technical solutions.
  • Support integration and use of clinical and biomedical data standards (e.g., EHR data, HL7/FHIR, OMOP).
  • Produce well-documented data assets and technical specifications to support reuse and transparency.

Collaboration and Project Support
  • Collaborate with data engineers, researchers, analysts, and project managers to deliver high-quality solutions.
  • Contribute to project planning, estimation, and execution.
  • Serve as a technical resource to team members and stakeholders.
  • Document systems, workflows, and architectural decisions clearly and consistently.

Continuous Learning and Innovation
  • Maintain current knowledge of emerging tools, technologies, and best practices in data engineering and AI.
  • Leverage AI-assisted development tools responsibly to improve productivity and code quality.
  • Participate in continuous improvement efforts across systems, processes, and workflows.

Knowledge, Skills, and Abilities
Technical Knowledge:
  • Proficiency in modern data engineering concepts, including:
    • Data warehouse and lakehouse architectures
    • Dimensional modeling and data transformation patterns
    • SQL and at least one general-purpose programming language (e.g., Python)
  • Experience with CI/CD pipelines and automated testing for data and ML workflows
  • Familiarity with data quality frameworks, lineage tracking, and observability tools
  • Understanding of cloud platforms, identity and access management, and security best practices
  • Knowledge of clinical and biomedical data standards and research workflows preferred

Analytical and Problem-Solving Skills
  • Ability to analyze complex technical problems and implement effective solutions
  • Strong troubleshooting skills across data ingestion, transformation, and delivery layers
  • Ability to balance reliability, performance, and cost considerations

Communication and Collaboration
  • Strong written and verbal communication skills
  • Ability to document technical concepts clearly for both technical and non-technical audiences
  • Demonstrated ability to collaborate effectively in multidisciplinary teams

Education and Experience
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field required; Master's degree preferred.
  • Minimum of three (3) years of professional experience in data engineering, systems engineering, or a related technical role.
  • Demonstrated experience in:
    • Data platform or data pipeline development
    • Cloud-based data system
    • SQL and programmatic data processing
    • DataOps or MLOps practices

Performance Expectations
  • Works independently within established guidelines and best practices.
  • Produces high-quality work with minimal supervision.
  • Demonstrates sound judgment and attention to detail.
  • Contributes to continuous improvement of tools, processes, and team effectiveness.

Physical Demands
  • Ability to work standard business hours with flexibility as needed.
  • Ability to sit or stand for extended periods.
  • Ability to operate a computer and standard office equipment.
  • Ability to lift and move materials up to 20 pounds as needed.
  • Ability to travel occasionally for meetings or training.

Work Environment
  • Hybrid office and research environment.
  • Fast-paced, deadline-driven setting.
  • Requires collaboration with internal teams and external partners.
  • Regular use of computers, communication tools, and office equipment.

BENEFITS OF WORKING HERE
  • Work with a variety of diverse professionals in the healthcare industry
  • Free parking
  • Paid holidays, vacation, and sick time
  • Group Life and Voluntary Term Life insurance
  • Long-term and Short-term Disability plans
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)
  • 403b Retirement Plan with gracious employer contributions
  • Fitness program
  • Pet insurance
  • Qualified employer for loan forgiveness

Please note sponsorship and/or relocation are not available for this position.
REGENSTRIEF INSTITUTE REQUIRES ALL EMPLOYEES TO RECEIVE THE INFLUENZA VACCINATION ANNUALLY UNLESS APPROVED FOR EXEMPTION.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

Apply