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Mlops Engineer Remote Jobs in Michigan (NOW HIRING)

Python MLOps Engineer

Lansing, MI · Remote

$65 - $75/hr

Remote Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a ...

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100.30K - $132.10K/yr

... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ... and MLOps principlesandthe ability totranslate between language and methodologies used both in ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

... data engineers, and MLOps teams to ensure seamless model integration and delivery. * Perform ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... fully remote candidates, with periodic travel expected for company retreats and key on-site ... Establish MLOps best practices including CI/CD pipelines for model deployment, monitoring, and ...

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Mlops Engineer Remote information

What are the key skills and qualifications needed to thrive as an MLOps Engineer (Remote), and why are they important?

To thrive as an MLOps Engineer, you need a solid background in machine learning, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms such as AWS or Azure, as well as certifications in cloud services or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills help you bridge the gap between data science and operations teams in a remote setting. These competencies are crucial for building scalable, reliable machine learning systems that deliver real-world value efficiently.

What are some common challenges faced by remote MLOps Engineers, and how can they be addressed?

Remote MLOps Engineers often encounter challenges related to communication and collaboration, especially when coordinating with data scientists, developers, and operations teams across different time zones. To overcome these challenges, it's essential to establish clear documentation practices, utilize collaborative platforms for workflow management, and schedule regular virtual meetings to ensure alignment. Additionally, maintaining strong version control and automated CI/CD pipelines helps streamline model deployment and monitoring, reducing friction caused by remote coordination. Building proactive communication habits and leveraging cloud-based tools can significantly improve efficiency and team cohesion.

What does an MLOps Engineer do, especially in a remote role?

An MLOps Engineer is responsible for streamlining and automating the deployment, monitoring, and management of machine learning models in production environments. Working remotely, they collaborate with data scientists, software engineers, and IT teams using cloud-based tools to ensure that ML models are scalable, reliable, and maintainable. Their tasks often include setting up CI/CD pipelines for ML workflows, managing model versioning, and monitoring model performance over time. Remote MLOps Engineers leverage communication and project management tools to stay aligned with distributed teams and ensure seamless operations.

What is the difference between Mlops Engineer Remote vs Data Engineer?

AspectMlops Engineer RemoteData Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with cloud platforms and ML toolsBachelor's in CS, Data Engineering, or related; strong SQL and ETL skills
Work EnvironmentRemote, collaborative teams, cloud-based infrastructureRemote or on-site, data pipelines, cloud or on-premises systems
Industry UsageTech, AI, ML-focused companiesFinance, healthcare, tech, and other data-driven industries

While both roles involve working with data and cloud platforms, Mlops Engineers focus on deploying and maintaining machine learning models in production, often working remotely with ML-specific tools. Data Engineers primarily build and manage data pipelines and infrastructure. The roles overlap in cloud experience and data handling but differ in their core focus areas.

What are the most commonly searched types of Mlops Engineer jobs in Michigan? The most popular types of Mlops Engineer jobs in Michigan are:
What job categories do people searching Mlops Engineer Remote jobs in Michigan look for? The top searched job categories for Mlops Engineer Remote jobs in Michigan are:
What cities in Michigan are hiring for Mlops Engineer Remote jobs? Cities in Michigan with the most Mlops Engineer Remote job openings:
Python MLOps Engineer

Python MLOps Engineer

Eliassen Group

Lansing, MI • Remote

$65 - $75/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Python MLOps Engineer

Anywhere

Type: Contract

Category: Engineer

Industry: Retail

Workplace Type: Remote

Reference ID: JN -052026-106781

Date Posted: 05/05/2026

Shortcut: http://careers.eliassen.com/7BNvqv

  • Description

  • Recommended Jobs

Description:

Remote

Our client seeks a Python-heavy MLOps engineer to own coding, debugging, and maintenance for a fast-evolving pilot ML Python application. The role focuses on backend Python and SQL in a lightly documented codebase, adjacent to machine learning without designing models. You will troubleshoot issues across code, data, and logic, implement business rule changes, and enhance logging to support downstream reporting. This work enables the senior data scientist to concentrate on model development while you drive stability and production-like support for the pilot.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $65.00 to $75.00/hr. w2

#LI-JS1

Responsibilities:

  • Trace, analyze, and modify existing Python code.

  • Write and update SQL queries.

  • Debug issues reported by business stakeholders.

  • Investigate unexpected or inconsistent model outputs.

  • Implement business rule and logic changes.

  • Add and enhance logging across the workflow.

  • Support pilot production-like troubleshooting.

  • Identify root cause of issues across code, data, logic, or model behavior.

  • Partner with stakeholders to understand and implement requested changes.

  • Ensure outputs and logs support downstream reporting needs.

Experience Requirements:

  • Strong Python development experience.

  • Strong SQL skills.

  • Experience working within existing codebases.

  • Strong debugging and troubleshooting ability.

  • Experience supporting backend or application logic systems.

  • Ability to work in loosely documented and evolving environments.

  • Experience with version control such as GitHub.

  • Exposure to data science or machine learning applications.

  • Experience with MLOps or model-adjacent systems (preferred).

  • Understanding of model outputs and feature behavior (preferred).

  • Experience with Google Cloud or Vertex (preferred).

  • Experience with BigQuery (preferred).

  • Experience supporting data science workflows or applications (preferred).

  • Experience working in fast-changing or pilot environments (preferred).

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989