ZipRecruiter

Log In

1

Medical Imaging Machine Learning Jobs in Detroit, MI

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Medical and Dental (FastTek pays majority of the medical program) * Vision * Personal Time Off (PTO ...

Stellantis

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical ... medical, dental, vision, and prescription drug coverage -- ensuring you and your family stay ...

University of Michigan

Data Architect Senior

Ann Arbor, MI · On-site

$65.75 - $88/hr

Job Summary The Machine Learning in Neurosurgery (MLiNS) Lab at the University of Michigan is ... Experience with DICOM, PACS, whole-slide imaging clinical data warehouses, medical imaging ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Comprehensive medical benefits coverage, dental plans and vision coverage. * Health care and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Comprehensive medical benefits coverage, dental plans and vision coverage. * Health care and ...

next page

Showing results 1-20

All JobsMedical Imaging Machine Learning JobsMedical Imaging Machine Learning Jobs in Detroit, MI

Medical Imaging Machine Learning information

See Detroit, MI salary details

$22.2K

$90.4K

$190.6K

How much do medical imaging machine learning jobs pay per year?

As of Aug 9, 2026, the average yearly pay for medical imaging machine learning in Detroit, MI is $90,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,487.00 and $130,349.00 per year, depending on experience, location, and employer.

What types of teams do medical imaging machine learning professionals typically work with, and how is collaboration structured?

Medical Imaging Machine Learning specialists often collaborate closely with radiologists, data scientists, software engineers, and clinical researchers to develop and refine AI-driven diagnostic tools. The work environment is usually multidisciplinary, involving regular meetings, code reviews, and joint problem-solving sessions to ensure alignment between technical solutions and clinical needs. Team members may also work with regulatory experts to ensure compliance with healthcare standards. This collaborative approach ensures that models are both technically robust and clinically relevant, ultimately supporting better patient outcomes.

What are the key skills and qualifications needed to thrive in medical imaging machine learning?

To excel in Medical Imaging Machine Learning, a solid background in computer science, machine learning, and image processing, often supported by an advanced degree (MS or PhD) in a related field, is essential. Experience with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and familiarity with medical imaging standards (like DICOM) are commonly required. Strong analytical thinking, problem-solving abilities, and the ability to communicate complex technical concepts to multidisciplinary teams are highly valued. These competencies enable professionals to develop and implement effective AI solutions that enhance diagnostic accuracy and workflow efficiency in healthcare settings.

What is a medical imaging machine learning?

A Medical Imaging Machine Learning job involves developing and applying artificial intelligence (AI) techniques to analyze medical images, such as X-rays, MRIs, and CT scans. Professionals in this field use machine learning models to assist in disease detection, diagnosis, and treatment planning. They work with large medical datasets, optimize deep learning models, and collaborate with radiologists and healthcare professionals to improve diagnostic accuracy and efficiency. The role requires expertise in machine learning, computer vision, and medical imaging technologies.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Detroit, MI? The most popular types of Medical Imaging Machine Learning jobs in Detroit, MI are:
What are popular job titles related to Medical Imaging Machine Learning jobs in Detroit, MI? For Medical Imaging Machine Learning jobs in Detroit, MI, the most frequently searched job titles are:
Medical Imaging Machine Learning jobs near you
Infographic showing various Medical Imaging Machine Learning job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $90,384 per year, or $43.5 per hour.

Machine Learning Engineer

FastTek

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

Machine Learning Engineer #1058742
Position Description:
We are seeking an experienced AI Engineer to design, develop, and deploy intelligent solutions leveraging Machine Learning, Large Language Models (LLMs), and emerging Agentic AI capabilities to transform business processes and improve operational efficiency. This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable, production-ready AI systems that generate measurable business value. The ideal candidate will have hands-on experience building and operationalizing AI/ML solutions in enterprise environments, with strong expertise in Generative AI, intelligent automation, and cloud-native architectures.
Key Responsibilities:
  • Design, develop, and deploy machine learning models, including predictive, optimization, and Generative AI solutions
  • Build end-to-end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement
  • Develop LLM-based applications such as RAG systems, prompt orchestration, agentic workflows, and tool integrations
  • Create scalable APIs and AI services integrated with enterprise systems
  • Establish and maintain MLOps pipelines including automated training, deployment, monitoring, and retraining
  • Ensure AI solutions are scalable, secure, reliable, and production-ready
  • Collaborate with business and technical stakeholders to translate requirements into AI- driven solutions
  • Monitor model performance and continuously improve based on feedback and metrics
  • Stay current with advancements in AI, Generative AI, Agentic AI, and MLOps

Required Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • Strong Python programming experience (backend development, APIs, automation)
  • Experience deploying ML models in production environments
  • Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
  • Hands-on experience with LLMs, prompt engineering, and Generative AI
  • Experience working with cloud platforms (GCP and/or AWS)
  • Strong understanding of SDLC, version control, testing, and deployment practices
  • Excellent analytical, communication, and problem-solving skills
  • Ability to work in fast-paced, agile environments

Primary Skills:
  • Python, Machine Learning, Data Science, GCP, BigQuery

Experience Requirements:
  • Engineer Level 3
  • 6+ years of IT experience
  • 4+ years of development experience
  • Experience with 2 programming languages or advanced proficiency in 1

Preferred Experience:
  • Agentic AI systems, multi-step workflows, autonomous agents, tool-calling architectures
  • Frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, etc.
  • MLOps tools: MLflow, Airflow, Vertex AI, SageMaker, Kubeflow, etc.
  • Docker and Kubernetes
  • Vector databases, embeddings, RAG, semantic search
  • Large-scale enterprise data systems and data lakes
  • AI system optimization (performance, cost, scalability)
  • AI product or analytics platform development

Additional Qualifications:
  • Self-starter with ability to work independently
  • Strong communicator across technical and non-technical teams
  • Collaborative and team-oriented
  • Innovative mindset with strong problem-solving ability
  • Results-driven and focused on production impact

Education:
  • Bachelor's Degree required

Additional Information:
  • Strong experience required in production-grade AI systems, APIs, and cloud-native Deployments

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.