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Summer Artificial Intelligence Machine Learning Jobs in Michigan

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... GCP, Big Data, Artificial Intelligence & Expert Systems, API * GCP - Experience deploying and ...

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Summer Artificial Intelligence Machine Learning information

What types of projects can I expect to work on during a Summer Artificial Intelligence Machine Learning internship?

As a Summer Artificial Intelligence Machine Learning intern, you can expect to contribute to projects involving data preprocessing, model training, and evaluation under the guidance of experienced mentors. Typical tasks may include developing and testing new algorithms, analyzing large datasets, and supporting the deployment of machine learning models. You'll often collaborate closely with data scientists, software engineers, and other interns, gaining exposure to real-world AI challenges and industry-standard tools. This hands-on experience not only builds technical skills but also improves teamwork and communication abilities, laying a strong foundation for a future career in AI and ML.

What are the key skills and qualifications needed to thrive as a Summer Artificial Intelligence Machine Learning intern, and why are they important?

To thrive as a Summer Artificial Intelligence Machine Learning intern, you need a solid background in mathematics, statistics, and programming (often Python), typically supported by coursework or projects in machine learning or data science. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is commonly expected. Strong problem-solving skills, curiosity, and the ability to collaborate effectively within diverse teams are valuable soft skills for this role. These competencies are crucial for successfully developing, implementing, and refining AI models in a fast-paced, innovation-driven environment.

What is a Summer Artificial Intelligence Machine Learning?

A Summer Artificial Intelligence (AI) Machine Learning (ML) job is a temporary internship or position, typically offered to students or recent graduates during the summer months, that focuses on working with AI and ML technologies. In these roles, participants gain hands-on experience by collaborating on projects involving data analysis, developing machine learning models, and implementing AI algorithms. These positions are designed to help individuals build practical skills, expand their technical knowledge, and explore potential career paths in the rapidly growing field of AI and ML.

What is the difference between Summer Artificial Intelligence Machine Learning vs Summer Data Science?

AspectSummer Artificial Intelligence Machine LearningSummer Data Science
Required CredentialsBachelor's or Master's in CS, AI, ML, or related fieldsBachelor's or Master's in CS, Data Science, Statistics, or related fields
Work EnvironmentResearch labs, tech companies, startupsData analysis teams, consulting firms, tech companies
Industry UsageDeveloping AI models, ML algorithms, automationData analysis, visualization, business insights
Common Search/ComparisonYesYes

Summer Artificial Intelligence Machine Learning focuses on developing AI systems and algorithms, often involving programming and model training. Summer Data Science emphasizes analyzing and interpreting data to generate insights. While both roles require strong technical skills and similar educational backgrounds, AI/ML roles are more research and development-oriented, whereas Data Science roles focus on data analysis and visualization.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Michigan? The most popular types of Artificial Intelligence Machine Learning jobs in Michigan are:
What are popular job titles related to Summer Artificial Intelligence Machine Learning jobs in Michigan? For Summer Artificial Intelligence Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Summer Artificial Intelligence Machine Learning jobs in Michigan look for? The top searched job categories for Summer Artificial Intelligence Machine Learning jobs in Michigan are:
What cities in Michigan are hiring for Summer Artificial Intelligence Machine Learning jobs? Cities in Michigan with the most Summer Artificial Intelligence Machine Learning job openings:
Summer Artificial Intelligence Machine Learning jobs near you
Infographic showing various Summer Artificial Intelligence Machine Learning job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Artificial Intelligence Specialist

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Artificial Intelligence Specialist #1056879
Position Description:
  • Support our AI and ML engineering capability within the TOP platform, including model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation
  • Oversee vendor fine-tuning of Google Cloud Vertex AI using our proprietary diagnostic data, ensuring compliance with our IP protection requirements and model weight storage architecture
  • Design and build our Orchestration Layer
  • The integration framework that connects external AI engine with our other internal AI engines and TOP platform services
  • Evaluate AI engine outputs against defined accuracy, latency, and first-time fix rate metrics; drive iterative improvement through structured feedback loops
  • Define model evaluation frameworks and acceptance criteria for AI-generated triage recommendations, ensuring clinical accuracy before dealer-facing deployment
  • Build our internal tooling for model monitoring, drift detection, and retraining triggers within our GCP environment
  • Collaborate with our data engineering team to define data preparation and feature engineering requirements that support model fine-tuning and inference quality
  • Partner with our GCP Cloud Engineers to ensure model artifact storage, versioning, and access controls comply with our IP and security policies
  • Contribute to the long-term insourcing roadmap by documenting model architectures, training pipelines, and prompt frameworks in sufficient detail to enable internal replication
  • Represent AI and ML engineering in architecture reviews and vendor technical discussions.

Skills Required:
Technical Communication, Communications, Google Cloud Platform, TensorFlow, Data Governance, Machine Learning, Python, Artificial Intelligence & Expert Systems
  • Technical Communication - 2-5 years translating complex technical concepts — such as ML model behavior, data pipeline architecture, or platform design decisions — into clear documentation, proposals, and presentations for both technical and non-technical audiences including engineering leads and product stakeholders.
  • Communications - 2-5 years of demonstrated ability to communicate effectively across cross-functional teams, including facilitating technical discussions, contributing to design reviews, and keeping stakeholders aligned on project status, risks, and decisions.
  • Google Cloud Platform - 2-5 years of hands-on experience with GCP services relevant to AI/ML and data workloads, including Vertex AI, BigQuery, GCS, Dataflow, or Cloud Composer, with the ability to deploy and manage workloads in a production cloud environment.
  • TensorFlow - 2-5 years building, training, and evaluating machine learning models using TensorFlow or TensorFlow Extended (TFX), including experience with model versioning, pipeline integration, and deploying models to production serving infrastructure.
  • Data Governance - 2-4 years applying data governance principles including data lineage, access controls, metadata management, and compliance standards to ensure telemetry and ML datasets meet quality, security, and regulatory requirements.
  • Machine Learning - 3-5 years of applied ML experience including feature engineering, model selection, training, validation, and deployment. Candidate should be comfortable working with both structured and unstructured data in the context of real-world engineering or automotive telemetry use cases. SEE ADDITIONAL INFORMATION FOR #7 AND #8

Skills Preferred:
  • Telematics 1. Telematics - 1-3 years of exposure to telematics data systems, including vehicle data collection, event streaming, or connected vehicle platforms.
  • Familiarity with how telematics data is ingested, processed, and applied to ML or analytics use cases is a strong plus in the context of our Telemetry & Observability Platform.

Experience Required:
  • 5 or more years of professional experience in machine learning engineering, AI systems development, or applied AI research
  • Hands-on experience fine-tuning LLMs in a cloud environment, with specific preference for Google Cloud Vertex AI or equivalent managed ML platforms
  • Demonstrated experience building agentic AI systems using frameworks such as LangChain, LangGraph, Google Agent Builder, or equivalent orchestration tooling
  • Proficiency in Python and ML development tooling including Hugging Face, PyTorch or TensorFlow, and MLflow or Vertex AI Experiments
  • Experience designing and evaluating LLM outputs for production systems, including prompt engineering, retrieval-augmented generation (RAG) architectures, and model evaluation metrics
  • Strong understanding of MLOps practices including model versioning, deployment pipelines, monitoring, and retraining workflows on GCP
  • Experience working in regulated or IP-sensitive environments where model artifact ownership and data governance are active concerns
  • Strong written and verbal communication skills; ability to translate technical AI concepts for non-technical executive stakeholders

Experience Preferred:
  • Experience in automotive diagnostics, vehicle telematics, or connected vehicle platforms
  • Familiarity with Diagnostic Trouble Code (DTC) data, Over-the-Air (OTA) update systems, or repair order (RO) data structures
  • Experience with multi-agent AI systems and tool-use patterns in production
  • Google Cloud Professional Machine Learning Engineer certification

Education Required:
  • Bachelor's Degree

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.