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Data Science Machine Learning Jobs in Michigan (NOW HIRING)

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineering Engineer 3 Dearborn, MI W2 Position Description: We are seeking an ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · Hybrid

Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques. * Leads the team incorporating new Data Science techniques to enhance the ...

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI

$102K - $140K/yr

Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning ...

Delta Dental of Michigan

Data Scientist

Okemos, MI · On-site

Develops and implements advanced statistical models using casual modelling, machine learning and optimization techniques. * Leads the team incorporating new Data Science techniques to enhance the ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI

$50.75 - $69.50/hr

For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT ...

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All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Michigan

Data Science Machine Learning information

See Michigan salary details

$32.7K

$107K

$171.3K

How much do data science machine learning jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science machine learning in Michigan is $106,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 per year, depending on experience, location, and employer.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

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

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
Data Science Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago

Job description

Job Title
Machine Learning Engineer
Overview / Summary
We are seeking an experienced Machine Learning Engineer to design, implement, and maintain scalable machine learning and analytics pipeline solutions. The ideal candidate will have expertise in machine learning engineering, cloud platforms, DevSecOps practices, and data engineering technologies. This role involves building and optimizing ML infrastructure, deploying production-grade machine learning solutions, and collaborating with cross-functional teams to improve processes and business outcomes.
Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future machine learning requirements.
  • Design and develop machine learning models and software algorithms to solve complex business problems in structured and unstructured environments.
  • Design, build, maintain, and optimize scalable machine learning pipelines, architectures, and infrastructure.
  • Apply machine learning techniques in areas such as computer vision, perception, localization, virtual reality, augmented reality, object detection, tracking, classification, and terrain mapping.
  • Deploy machine learning models and algorithms into production environments and conduct simulations for testing and validation.
  • Automate model deployment, training, and retraining using CI/CD/CT methodologies and MLOps practices.
  • Implement model management processes, including versioning and traceability across environments.
  • Develop, build, and maintain machine learning infrastructure, including data pipelines, deployment platforms, and monitoring solutions.
  • Develop and maintain tools and libraries that support machine learning development and deployment.
  • Automate machine learning workflows using DevSecOps principles and practices.
  • Collaborate with development and operations teams to improve system integration and automate ML pipelines.
  • Design, develop, and manage data flows and APIs between systems and applications.
  • Troubleshoot and resolve issues related to system communication, data flow, and data quality.
  • Collaborate with technical and non-technical stakeholders to gather requirements and ensure successful deployment of data solutions.
  • Create and maintain technical documentation for software components.
  • Ensure systems comply with evolving business needs, data governance policies, and security requirements.
  • Implement and maintain high standards of data quality and integrity.
  • Manage deliverables through project management tools.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 3+ years of experience developing and deploying machine learning models in production environments.
  • 3+ years of Python programming experience.
  • 2+ years of hands-on experience with Google Cloud Platform (GCP), including services such as BigQuery, Google Cloud Storage, Cloud Composer, and/or Cloud Run.
  • Experience using version control systems such as GitHub.
  • 2+ years of experience with code quality and security scanning tools such as SonarQube, Cycode, or FOSSA.
  • 3+ years of experience with data engineering technologies such as Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (PySpark), or Airflow.
  • Experience with CI/CD tools and practices, including Tekton or Terraform.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with Atlassian tools such as Jira and Confluence.
  • Experience working in Agile environments.

Preferred Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with MLOps tools and platforms.
  • Experience working in fast-paced environments with multiple priorities.
  • Demonstrated commitment to continuous learning and professional development.
  • Strong problem-solving skills and passion for technical excellence and innovation.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-Hybrid #LI-SK8

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