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Mlops Jobs in Inkster, MI (NOW HIRING)

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Your skills span test strategy, automation, and a little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear ...

Pwc

Applied AI Health Data System Engineer-Senior Manager

Detroit, MI · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health ...

Eccalon LLC

AI Expert- Software

Detroit, MI · On-site

Experience with MLOps, model monitoring, and lifecycle management. * Background supporting government, defense, or regulated environments. * Ability to obtain and maintain a security clearance if ...

Programmers.io

Senior Databricks Architect

Detroit, MI · On-site

$64 - $84.25/hr

Contribute to building MLOps and advanced operations frameworks. Required Qualifications * 14+ years in Data Engineering/Architecture with at least 4+ years hands-on Databricks experience delivering ...

Tech Tammina LLC

GCP Engineer

Dearborn, MI · On-site

Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs and Gen AI solution in GCP using Python and other tools for business across the company. * Work with software and ML ...

Ford Motor Company

AI Engineer

Dearborn, MI · Hybrid

$99K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

As the AI Engineer, you should have a strong technical background and demonstrated experience in Data Science , MLOps and AI/ML Engineering. You will be responsible for the delivery of analytical ...

WARACLE

Principal Data & AI Consultant

Dundee, MI · On-site

$120.48 - $174.03/hr

  • Retirement

  • PTO

Understanding how AI fits into the broader data landscape, interest in integrating LLMs and AI/MLOps into client solutions. * Collaborative Leadership: Proven track record of supporting multi-squad ...

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 Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs. * Strong technical expertise ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization. Skills Required: * Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine ...

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Showing results 21-40

All JobsMlops JobsMlops Jobs in Inkster, MI

Mlops information

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

Is MLOps in demand?

MLOps is a rapidly growing field as organizations increasingly adopt machine learning models in production. Professionals with skills in cloud platforms, automation, and tools like Kubernetes and Docker are highly sought after, reflecting strong industry demand for MLOps expertise.

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

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What is MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are popular job titles related to Mlops jobs in Inkster, MI? For Mlops jobs in Inkster, MI, the most frequently searched job titles are:
What cities near Inkster, MI are hiring for Mlops jobs? Cities near Inkster, MI with the most Mlops job openings:
Mlops jobs near you
Infographic showing various Mlops job openings in Inkster, MI as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Technical Development Lead (AI/Cloud/Full-Stack)

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

We are seeking a highly skilled and hands-on Technical Development Lead to drive the development and deployment of intelligent systems across cloud and full-stack environments. This role combines leadership, architecture, and development responsibilities, requiring cloud infrastructure, and full-stack engineering. You will lead cross-functional teams to deliver scalable solutions that integrate seamlessly into enterprise applications.

Additionally, the AI solutions being developed are for vehicle engineering, testing, simulations, and homologation.  Therefore, this role bridges the gap between IT and engineering, ensuring that digital tools, systems, and infrastructure align with the needs of vehicle development, testing, and production.  Basic knowledge of vehicle design and testing is required for success.

Key Responsibilities:

  • Design and maintain IT architecture supporting vehicle testing systems, including data acquisition, test automation, telemetry, and analytics platforms.
  • Collaborate with engineers, IT teams, and operations to align technology solutions with testing requirements and regulatory standards.
  • Lead the design, development, and deployment of AI/ML models and systems across cloud platforms (AWS, Azure, GCP).
  • Architect and implement full-stack solutions integrating AI models with front-end and back-end components.
  • Deploy the cloud environments and components needed for new AI projects.
  • Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
  • Build and maintain scalable ML pipelines using MLOps tools and practices.
  • Develop APIs and microservices to serve models and enable real-time inference.
  • Ensure high performance, reliability, and security of AI applications in production.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Stay current with emerging AI technologies and industry trends.

This role is based in Auburn Hills, MI and is required to be on-site in our HQ building 5 days per week.

Basic Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in software development
  • Strong programming skills in Python and JavaScript (React, Node.js).
  • Proven experience with cloud platforms (AWS, Azure, or GCP).
  • Experience building and deploying full-stack applications.
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Excellent communication and leadership skills.

Preferred Qualifications:

  • Minimum 3 years in AI/ML.
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI).
  • Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake).
  • Contributions to open-source AI projects or publications.
  • Certifications in cloud or AI technologies.

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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