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Apprentice Machine Learning Testing Jobs in Michigan

FastTek

Machine Learning Engineer

Dearborn, MI

Machine Learning Engineer #1058742 Position Description: We are seeking an experienced AI Engineer ... Strong understanding of SDLC, version control, testing, and deployment practices * Excellent ...

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 ... Strong understanding of software development lifecycle, version control, testing, and deployment ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... API Testing * Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins)

Millerknoll

Machine Builder Apprentice

Holland, MI

$17 - $21.75/hr

Apprentice will be under general supervision of a Journeyman Toolmaker(s). * Continuous learner ... Willingness to participate in internal and external classes to advance learning. * Demonstrated ...

MillerKnoll

Machine Builder Apprentice

Holland, MI · On-site

$17 - $21.75/hr

Apprentice will be under general supervision of a Journeyman Toolmaker(s). * Continuous learner ... Willingness to participate in internal and external classes to advance learning. * Demonstrated ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Michigan? For Apprentice Machine Learning Testing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Michigan look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Michigan are:
What cities in Michigan are hiring for Apprentice Machine Learning Testing jobs? Cities in Michigan with the most Apprentice Machine Learning Testing job openings:
Apprentice Machine Learning Testing jobs near you
Machine Learning Engineer

Machine Learning Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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.