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Machine Learning Engineer Associate Jobs in Lansing, MI

Alro Steel Corp

Machining Engineer

Charlotte, MI · On-site

Coordinate machine readiness to minimize downtime and maximize productivity. * Support new product ... High school diploma or GED required; associate degree or technical certification in machining ...

Alro Steel Corp

Machining Engineer

Charlotte, MI · On-site

Coordinate machine readiness to minimize downtime and maximize productivity. * Support new product ... High school diploma or GED required; associate degree or technical certification in machining ...

Auto-Owners Insurance

Data Scientist

Lansing, MI · On-site

Our group of caring associates create financial security by helping individuals and businesses make ... machine learning techniques, including classification, regression, clustering, feature engineering ...

Auto Owners Insurance Company

Data Scientist

Lansing, MI · On-site

Our group of caring associates create financial security by helping individuals and businesses make ... machine learning techniques, including classification, regression, clustering, feature engineering ...

TRUMPF

Field Service Engineer

Lansing, MI

... machines * submit organized and helpful service reports for each repair mission Experience and Education for Field Service Engineer * Associates program or technical school degree in Engineering ...

KēSTA I.T.

Data Warehouse Architect

Lansing, MI · On-site

$80 - $100/hr

... Analytics, and Machine Learning products aligned with business objectives, data governance ... engineering practices, along with a proven ability to lead architectural initiatives, evaluate ...

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Showing results 21-40

All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Lansing, MI

Machine Learning Engineer Associate information

See Lansing, MI salary details

$42.1K

$83.8K

$133.9K

How much do machine learning engineer associate jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer associate in Lansing, MI is $83,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $96,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are the most commonly searched types of Machine Learning Engineer jobs in Lansing, MI?

The most popular types of Machine Learning Engineer jobs in Lansing, MI are:

What are popular job titles related to Machine Learning Engineer Associate jobs in Lansing, MI?

For Machine Learning Engineer Associate jobs in Lansing, MI, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Associate jobs in Lansing, MI look for?

The top searched job categories for Machine Learning Engineer Associate jobs in Lansing, MI are:

What cities near Lansing, MI are hiring for Machine Learning Engineer Associate jobs?

Cities near Lansing, MI with the most Machine Learning Engineer Associate job openings:

Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Lansing, MI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 26% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,815 per year, or $40.3 per hour.

Data Warehouse Architect

Lansing, MI • On-site

SystemDomain, Inc.
11 - 50 employees
Learn more about SystemDomain, Inc.external

Other

Re-posted 29 days ago

Job description

Data Warehouse Architect 5 - Solutions Architect

Job Title: Data Warehouse Architect 5 - Solutions Architect
Location: Lansing, MI - Hybrid
Work Arrangement: Onsite Wednesdays & Thursdays required
Duration: 1+ Year Contract

Position Overview

We are seeking an experienced Data Warehouse Architect 5 / Data Platform Solutions Architect to lead enterprise data platform architecture, modernization, strategy, governance, and technology innovation initiatives.

The ideal candidate will have extensive experience designing and implementing Enterprise Data Platforms, Data Warehouses, Data Lakes, and modern cloud-based data architectures. This role will involve close collaboration with enterprise architects, engineering teams, business stakeholders, security teams, and technology vendors.

The selected candidate will contribute to data warehouse and analytics platform modernization, evaluate emerging technologies, establish architecture standards, and ensure data, analytics, and machine learning solutions align with enterprise strategy, governance, security, and architectural standards.

Key Responsibilities
  • Lead enterprise data architecture and modernization initiatives.
  • Develop enterprise data landscapes, data strategies, and data architecture approaches.
  • Define target-state data architectures, engineering standards, methodologies, and best practices.
  • Collaborate with Enterprise Architects and cross-functional technology teams.
  • Evaluate and recommend cloud and data platform technologies and vendors.
  • Lead RFI/RFP and procurement activities related to data platform technologies.
  • Partner with technology vendors to develop innovative Enterprise Data Platform capabilities.
  • Lead Proofs of Concept (POCs), technology evaluations, Codathons, and innovation initiatives.
  • Establish and promote data architecture, governance, security, and technology standards.
  • Support data-driven decision-making through Communities of Practice and knowledge-sharing initiatives.
  • Ensure data, analytics, and machine learning platforms align with enterprise architecture and security standards.

Required Qualifications
  • 5+ years of experience leading Data Architects and collaborating with Enterprise Architects.
  • Experience developing Enterprise Data Landscapes, Data Strategies, and Data Architecture approaches.
  • Strong understanding of enterprise architecture frameworks such as TOGAF 9, FEAF, or DODAF.
  • Experience aligning data, application, technology, and business landscapes with enterprise strategy.
  • Experience developing Data Engineering standards, methodologies, best practices, and target-state architectures.
  • 3+ years of experience driving RFI/RFP/procurement processes for data platform technologies.
  • Experience evaluating and selecting cloud and data platform technologies and vendors.
  • Experience working with technology vendors to develop enterprise data platform capabilities.
  • Experience leading POCs, technology evaluations, Codathons, and innovation initiatives.
  • Experience promoting data-driven decision-making through Communities of Practice and knowledge-sharing programs.

Preferred Technical Experience
  • Enterprise Data Platforms (EDP)
  • Data Lakes / Delta Lake
  • Databricks
  • Data Warehousing
  • Cloud-based Data Platforms
  • Data Marts
  • Operational Data Stores (ODS)
  • NoSQL Databases
  • Graph Databases
  • Data Analytics and Machine Learning Platforms
  • Data Governance
  • Data Security
  • Metadata Management

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