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Assistant Mlops Jobs in Michigan (NOW HIRING)

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI ... assistants and specialized programming * Research and optimize AI technologies to enhance ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code ... MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly ...

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

... MLOps practices. * Contribute to medical foundation models, vision-language models, clinical NLP ... Thoughtful use of coding assistants and agents, such as Claude Code or Codex, combined with careful ...

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated ...

Reply

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

As a technical leader, the person will assist with setting the technical direction of the practice ... MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated ...

Ilitch

Applied AI Engineer

Detroit, MI · On-site

... assistants * Experience with secure development practices, data privacy controls, and operational ... Understanding of modern product and engineering practices such as Agile, DevOps, CI/CD,MLOps, and ...

Utilidata

Senior Software Engineer, DevOps

Ann Arbor, MI · On-site +1

$160K - $190K/yr

Participate in on-call rotations and incident response teams * Assist in capacity planning ... Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent ...

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Assistant Mlops information

What is an Assistant MLOps?

Assistant MLOps are professionals who support the deployment, monitoring, and management of machine learning models in production environments. They assist senior MLOps engineers with tasks like automating workflows, managing data pipelines, maintaining infrastructure, and ensuring model performance. Their role bridges the gap between data science and IT operations, helping organizations scale and maintain their AI solutions efficiently. Assistant MLOps often have knowledge of cloud services, CI/CD tools, and basic programming, and they work closely with data scientists and engineers.

What is the difference between Assistant Mlops vs Data Engineer?

AspectAssistant MlopsData Engineer
Required CredentialsCertifications in cloud platforms, basic scripting, ML toolsComputer science degree, SQL, Python, data architecture
Work EnvironmentCollaborates with ML teams, supports deployment pipelinesBuilds data pipelines, manages databases, processes large datasets
Industry UsageAI/ML projects, cloud-based environmentsData infrastructure, analytics, big data solutions

Assistant Mlops and Data Engineer roles share overlapping skills in cloud platforms and scripting. However, Assistant Mlops focuses on supporting ML deployment and operations, while Data Engineers primarily build and maintain data infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are the typical daily responsibilities of an Assistant MLOps?

As an Assistant MLOps professional, you can expect your daily tasks to involve supporting the deployment, monitoring, and maintenance of machine learning models in production environments. This often includes collaborating with data scientists to automate model training and testing workflows, managing cloud-based resources, and ensuring that data pipelines are running smoothly. You'll also help troubleshoot issues related to model performance or infrastructure and assist in implementing best practices for version control and continuous integration. Working closely with both engineering and data teams, you'll play a key role in ensuring that ML models remain reliable and scalable in real-world applications.

What are the key skills and qualifications needed to thrive as an Assistant MLOps?

To thrive as an Assistant MLOps, you need a solid understanding of machine learning fundamentals, programming (especially Python), and experience with cloud platforms; a degree in computer science or a related field is typically preferred. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git) is important, and certifications in cloud services (AWS, Azure, GCP) can be advantageous. Strong problem-solving, communication, and collaboration skills help you bridge the gap between data science and operations teams. These combined skills ensure efficient deployment, monitoring, and maintenance of machine learning models in production environments.

Is assistant MLOps in high demand?

Assistant MLOps roles are increasingly in demand as organizations expand their machine learning and AI initiatives. These positions often require knowledge of cloud platforms, automation tools, and deployment pipelines, reflecting the growing need for scalable and reliable ML systems across industries.
What are the most commonly searched types of Mlops jobs in Michigan? The most popular types of Mlops jobs in Michigan are:
What are popular job titles related to Assistant Mlops jobs in Michigan? For Assistant Mlops jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Assistant Mlops jobs in Michigan look for? The top searched job categories for Assistant Mlops jobs in Michigan are:
What cities in Michigan are hiring for Assistant Mlops jobs? Cities in Michigan with the most Assistant Mlops job openings:
Assistant Mlops jobs near you
Infographic showing various Assistant Mlops job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Engineering Assistant- AI Based Solutions

FEV North America Inc

Auburn Hills, MI • On-site

Full-time

Posted 28 days ago

Job description

Description

  • Develop and deploy AI-based solutions to automate engineering and business workflows, improving efficiency, decision-making, and productivity
  • Identify opportunities to replace manual or rule-based processes with intelligent AI-driven workflows and agents
  • Design, develop, and integrate machine learning (ML), reinforcement learning (RL), and generative AI models for engineering applications
  • Replace conventional rule-based control algorithms and physics-based functions with data-driven ML/RL models where appropriate
  • Develop data pipelines for collection, cleaning, feature engineering, training, validation, and deployment of AI models
  • Train, optimize, and validate ML/RL models using simulation, test, and field data
  • Collaborate with controls, software, systems, and domain experts to integrate AI models into production systems
  • Support development of digital twins, predictive analytics, anomaly detection, optimization, and intelligent decision-making systems
  • Monitor model performance, perform retraining activities, and ensure robustness and scalability of deployed solutions
  • Prepare technical reports, documentation, presentations, and demonstrations for internal and customer stakeholders
  • Stay current with emerging AI technologies, frameworks, and best practices and evaluate their applicability to engineering challenges

Requirements

  • Working towards Bachelor's or master's degree in computer science, Electrical Engineering, Mechanical Engineering, Robotics, Data Science, Artificial Intelligence, or a related field
  • Understanding of Machine Learning, Deep Learning, Reinforcement Learning, and Generative AI concepts
  • Proficiency in Python and common AI/ML frameworks such as TensorFlow, PyTorch, and RL libraries
  • Experience with software development tools, version control systems, and CI/CD processes
  • Experience with data processing, feature extraction, model training, validation, and deployment workflows

Preferred Qualifications:

  • Knowledge of optimization techniques, control systems, and system modeling concepts
  • Familiarity with cloud-based AI platforms and MLOps practices is preferred
  • Strong analytical and problem-solving skills with the ability to work on complex engineering challenges
  • Professional communication skills (oral and written) and ability to present technical concepts to diverse audiences

 Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities 

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