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Remote Computer Science Artificial Intelligence Jobs in Michigan

Corning

$104.10K - $142.70K/yr

Experiences/Education - Required Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Engineering, or a related field, or equivalent practical experience ...

Deloitte

AI and Data Science Engineer III

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field * Cloud or artificial intelligence or machine learning certification * 4+ years of ...

Deloitte

Cyber Manager - ServiceNow

Detroit, MI · On-site +1

$109.90K - $148.50K/yr

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... Predictive Intelligence, Now Assist, or generative artificial intelligence capabilities

Deloitte

Cyber Manager - ServiceNow

Grand Rapids, MI · On-site +1

$106.60K - $144.10K/yr

Bachelor's degree in Computer Science, Cyber Security, Information Security, Engineering ... Predictive Intelligence, Now Assist, or generative artificial intelligence capabilities

OneStream Software

AI Consultant

Birmingham, MI · Remote

$104K - $130K/yr

... artificial intelligence and machine learning offerings. In addition to the primary objectives of ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

OneStream Software

AI Consultant

Rochester, MI · Remote

$104K - $130K/yr

... artificial intelligence and machine learning offerings. In addition to the primary objectives of ... Bachelor's degree in computer science, data science, or relevant combination of education and ...

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Remote Computer Science Artificial Intelligence information

What are the key skills and qualifications needed to thrive as a Remote Computer Science Artificial Intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

How do remote Computer Science Artificial Intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.

What are Remote Computer Science Artificial Intelligence jobs?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Michigan? For Remote Computer Science Artificial Intelligence jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Michigan look for? The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Michigan are:
What cities in Michigan are hiring for Remote Computer Science Artificial Intelligence jobs? Cities in Michigan with the most Remote Computer Science Artificial Intelligence job openings:
Remote Computer Science Artificial Intelligence jobs near you
Artificial Intelligence Specialist

Artificial Intelligence Specialist

FastTek

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

Artificial Intelligence Specialist #1054782
Job Description:
  • Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming

Key Responsibilities:
  • Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
  • Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
  • Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
  • Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation

Skills Required:
  • Artificial Intelligence & Expert Systems
  • Machine Learning
  • Data Science
  • Data Modeling
  • Software Development Lifecycle

Experience Required:
  • Specialist Exp: 5+ experience in relevant field

Experience Preferred:
Minimum Requirements:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments.
  • Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher).
  • Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
  • Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
  • Strong analytical, problem-solving, and critical thinking skills.
  • Exceptional communication, interpersonal skills, and stakeholder management skills.

Preferred Qualifications:
  • AI-SDLC Experience: Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
  • Requirement Engineering: Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
  • Knowledge Graph: Understanding semantic ontologies and how they enable advanced analytics.
  • COTS Integration: Experience integrating COTS AI solutions into an enterprise tech stack.
  • Supply Chain Domain Knowledge: Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.

Education Required:
  • Bachelor's Degree

Education Preferred:
  • Master's Degree

Additional Information:
  • Business Requirement Gathering: Partner with supply chain functional leads to elicit and document business requirements and translate them into technical specifications for AI-driven decision support tools, ensuring every solution delivers measurable business value.
  • Model Integration & Deployment: Act as the primary technical lead for applied AI implementation. Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain GCP space.
  • Graph-Based AI Implementation: Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies. Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement.
  • AI-Driven SDLC Execution: Champion and implement AI-assisted development practices. Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality.
  • Pipeline & MLOps Engineering: Design the "connective tissue" between Knowledge Graph updates and model inference engines. Maintain automated pipelines that ensure decision-support tools are always powered by the most current data.
  • Technical Standardization: Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.

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.