ZipRecruiter

Log In

1

Machine Learning Manager Jobs in Owosso, MI (NOW HIRING)

Software People, Inc.

AI Developer

Lansing, MI · On-site

... and Machine Learning (ML) concepts. • 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. • 3+ years in projects development using Angular/React JS, JavaScript ...

Westrock

Technical Trainer

Lansing, MI · On-site

$33 - $43.75/hr

Participates in new teammate hiring process - assesses candidates' skills (general and/ or machine ... Knowledge of Learning Management Systems preferred * Microsoft Office Experience Preferred- Word ...

Auto-Owners Insurance

Analytics Project Lead

Lansing, MI · On-site

Responsibilities are to manage the day-to-day operational and tactical aspects of company projects ... Experience leading delivery of analytics, data science, business intelligence, or machine learning ...

Brooksource

Analytics Project Lead

Lansing, MI · On-site

$43 - $55/hr

... machine learning, decision intelligence, or MLOps workflows Relevant Backgrounds / Titles Candidates may have experience in roles such as: * Project Manager * Technical Project Manager * Scrum Master

Trilyon, Inc.

Business Analyst - Hybrid

Lansing, MI · On-site

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Project Management Methodologies/Agile 3 Adept with using BA tools (e.g., FIGMA, Visio) 3 Equal ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

... management * Ability and interest to obtain industry security certifications Predictive Modeler Co-op: Responsibilities include: * Using statistical or machine learning techniques to build models ...

Auto-Owners Insurance Group

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

... management * Ability and interest to obtain industry security certifications Predictive Modeler Co-op: Responsibilities include: * Using statistical or machine learning techniques to build models ...

Westrock

Mgr II, Distribution Ops

Flint, MI · On-site

Operate machinery and equipment as needed * Troubleshoot production equipment issues and coordinate ... Comprehensive training with numerous learning and development opportunities. * An attractive salary ...

Ventek Solutions, LLC

Design Tech II

Owosso, MI

In 2024, Black Diamond Capital Management acquired the Protective Solutions segment of Sonoco ... Must be capable of learning to operate software for cutting machines and tables. Must be capable of ...

next page

Showing results 1-20

All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Owosso, MI

Machine Learning Manager information

See Owosso, MI salary details

$45.8K

$73.4K

$106.1K

How much do machine learning manager jobs pay per year?

As of Jul 29, 2026, the average yearly pay for machine learning manager in Owosso, MI is $73,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $83,100.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What cities near Owosso, MI are hiring for Machine Learning Manager jobs? Cities near Owosso, MI with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Owosso, MI as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $73,442 per year, or $35.3 per hour.

AI Developer

Software People, Inc.

Lansing, MI • On-site

Contractor

Re-posted 27 days ago

Job description

Phone/Skype Hire. Onsite from day 1 / Hybrid

Location: Lansing, MI

Duration: 12+ months

Responsibilities

The position is responsible for providing ongoing maintenance and support of GCP applications such as Document AI (DOC AI) for vital records within our department. The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index information and images to FileNet and stored in a on-prem application called VERA. The application is utilized by Vital Records employees. Changes are being made to enhance the stability and functionality of the systems.The resource is integral to developing and maintaining DOC AI solution, streamlining critical business processes, data integrity, SEM/SUITE compliance, and securing the applications.  The resource also performs as a technical lead and provides technical guidance to the other developers in the department.  As a technical lead, the resource participates in a variety of analytical assignments that provide for the enhancement, integration, maintenance, and implementation of projects.  The resource also provides technical oversight to developers in the team that support other critical applications . Not having a resource on staff will lead to MDHSS manually documenting and developing screen plans that can lead to errors causing data integrity issues and can eventually lead to incorrect information being processed and reporting of the patient information.

Skills Needed

•             3+years in TensorFlow, PyTorch, Keras, or Scikit-learn.

•             3+ years in microservices.

•             3+years in SpaCy, NLTK, or Hugging Face’s

•             3+years in Tesseract, Google Vision API, or AWS Textract.

•             3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools

•             3+years in RESTful APIs and webhooks

•             3+years in SQL, R, and/or Pandas.

•             3+ years in cloud computing and software development.

•             3+ years software development in Python, Java, JavaScript.

•             3+  years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts.

•             3+ years designing, building, and managing Google Cloud Platform (GCP) solutions.

•             3+ years in projects development using  Angular/React JS, JavaScript framework.

•             3+ years programming in the JBOSS Enterprise SOA environment including JBOSS Workflow.

•             3+ years using CMM/CMMI Level 3 methods and practices.

•             3+ years implemented agile development processes including test driven development.

•             3+ years' Experience creating CI/CD pipelines using Azure DevOps.

•             Experience in programming languages such as Python, Java, JavaScript (Node.js), and/or C++.

•             Experience in Oracle/Data Bricks/Elastic/ELK.

•             Proficiency in data processing and analysis using tools such as SQL, R, and/or Pandas.

•             Experience in working with large datasets and data preprocessing techniques.

•             Proficiency in unit testing and integration testing for chatbot flows and APIs.

•             Familiarity with debugging tools and performance monitoring to ensure the chatbot runs smoothly.

•             Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces.

•             Ability to design, develop, and deploy AI and machine learning solutions.

•             Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

•             Proficiency with Natural Language Processing (NLP) tools like SpaCy, NLTK, or Hugging Face’s Transformers for text-based document processing.

•             Knowledge of NLP concepts like intent recognition, entity extraction, and context management.

•             Strong understanding of neural networks, computer vision, natural language processing, and/or reinforcement learning.

•             Experience with OCR (Optical Character Recognition) Tesseract, Google Vision API, or AWS Textract.

•             Proficiency in Dialogflow ES or CX, Google Assistant SDK, or other Google Cloud chatbot development tools.

•             Experience in building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants).

•             Experience in working with RESTful APIs and webhooks to enable backend communication

•             Knowledge of cloud technologies such as AWS, Google Cloud AI, or Azure AI services for document processing and AI model deployment.

•             Experience with Google Cloud Platform (GCP), including Google Cloud Functions, App Engine, and Firestore for deploying chatbots.

•             Ability to design effective conversational flows, manage dialogue context, and improve user satisfaction.

•             Familiarity with agile development methodologies and version control systems like Git.

•             Strong problem-solving and analytical skills with a focus on continuous improvement."