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Generative Ai Training Jobs in Michigan (NOW HIRING)

... Generative AI solutions * Build end-to-end AI workflows including data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement * Develop LLM-based ...

$12K/mo

Training for all 6 weeks will be Monday through Friday from 8:00 AM to 5:00 PM Central Time (with a ... AI-Native at every level: From the CEO to day-one hires, everyone builds and ships with generative ...

... Generative AI solutions. Build end-to-end AI workflows encompassing data ingestion, feature engineering, model training, deployment, monitoring, and continuous improvement. Develop and implement LLM ...

This is not a pure research or model-training role. We are looking for someone who is curious ... generative AI tools. - Experience building applications, automations, internal tools, scripts ...

AI Solutions Architect

Auburn Hills, MI

$59.50 - $78.50/hr

... document processing Generative AI and agent-based solutions Decision support applications ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

Generative AI and agent-based solutions * Decision support applications * Identification of future ... Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA ...

AI/ML Senior Researcher

Warren, MI

$92K - $117K/yr

... generative AI, world models, and physics-based machine learning. * Strong understanding of modern AI/ML development workflows, including data pipelines, model training, evaluation, deployment ...

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Strong understanding of Generative AI principles and architectures, including Large Language Models ... Automate model deployment, training, re-training, and Gen AI pipeline orchestration, leveraging ...

AI/ML Senior Researcher

Warren, MI · On-site

$92K - $117K/yr

... generative AI, world models, and physics-based machine learning. * Strong understanding of modern AI/ML development workflows, including data pipelines, model training, evaluation, deployment ...

AI Solutions Architect

Ann Arbor, MI · Hybrid

$61.75 - $81.25/hr

Contribute meaningfully to new model training and quality control through distillation of subject ... Demonstrable experience with generative AI applications and understanding of large language model ...

Showing results 41-60

Generative Ai Training information

What are some common challenges faced by professionals working in generative AI training roles?

Professionals in Generative AI training often encounter challenges such as ensuring data quality and diversity, combating model bias, and staying updated with fast-evolving algorithms. Collaborating closely with data scientists, engineers, and subject matter experts is essential to create robust training datasets and refine model outputs. Additionally, balancing computational resource demands with project deadlines can be demanding, making strong project management and adaptability key assets in this role.

What are the key skills and qualifications needed to thrive in generative AI training?

To thrive in Generative AI Training, you need a strong background in machine learning, data science, and programming (especially Python), often supported by a degree in computer science or a related field. Experience with frameworks like TensorFlow, PyTorch, and familiarity with large language models and cloud platforms is typically required. Strong analytical thinking, creativity, and effective communication are essential soft skills for designing training data and refining model outputs. These skills and qualities are crucial for developing high-quality, ethical, and scalable AI systems that meet organizational goals.

What is the difference between Generative Ai Training vs Data Scientist?

AspectGenerative Ai TrainingData Scientist
Required CredentialsKnowledge of AI models, programming, machine learningStatistics, programming, data analysis
Work EnvironmentAI development teams, tech companies, research labsBusiness, finance, tech firms, research institutions
Industry UsageDeveloping generative models like GPT, DALL·EData analysis, predictive modeling, insights generation

Generative Ai Training focuses on developing and fine-tuning AI models that generate content, requiring expertise in AI frameworks and machine learning. Data Scientists analyze data to extract insights and build predictive models. While both roles involve programming and data skills, Generative Ai Training is specialized in AI model creation, whereas Data Scientists work broadly with data analysis across industries.

What is generative AI training?

Generative AI training refers to the process of teaching artificial intelligence models, such as neural networks, to create new content like text, images, audio, or code. This is done by exposing the AI to large datasets so it can learn underlying patterns and generate outputs that mimic human-like creativity. The training process often involves techniques like supervised learning, unsupervised learning, or reinforcement learning, depending on the desired outcome. Generative AI is widely used in applications like chatbots, image generation, and content creation.
What are popular job titles related to Generative Ai Training jobs in Michigan? For Generative Ai Training jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Generative Ai Training jobs in Michigan look for? The top searched job categories for Generative Ai Training jobs in Michigan are:
Infographic showing various Generative Ai Training job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 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.