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Manager Generative Ai Jobs in Michigan (NOW HIRING)

Deloitte

Oracle Gen AI Manager

Detroit, MI · On-site

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

cyberThink, Inc.

AI/ML Engineer

Ann Arbor, MI · On-site

This role will work closely with software engineers, product managers, architects, and data teams to build scalable AI solutions using modern machine learning, generative AI, agent frameworks, and ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

... MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization. Skills Required: * Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine ...

Judge Group, Inc.

AI Specialist

Pontiac, MI · On-site

$60 - $65/hr

Copilot and Generative AI initiatives * Consulting experience * Executive stakeholder engagement * Organizational AI adoption and change management * Enterprise architecture and innovation leadership ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

... managers, architects, and data teams-to build scalable AI solutions utilizing modern machine learning, generative AI, agent frameworks, and enterprise-grade software engineering practices. In this ...

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI ... Use Git and collaborative development tools to manage and share code * Document findings ...

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Manager Generative Ai information

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

AspectManager Generative AiData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI project managementDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentLeads AI teams, collaborates with product and engineering teams, oversees AI projectsAnalyzes data, develops models, and provides insights; often works independently or in small teams
Employer & Industry UsageTech companies, AI startups, large enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

The main difference is that a Manager Generative Ai oversees AI projects and teams focusing on generative models, while a Data Scientist primarily analyzes data and develops models. Managers focus on leadership and strategy, whereas Data Scientists focus on technical analysis and model development.

What are the most commonly searched types of Generative Ai jobs in Michigan? The most popular types of Generative Ai jobs in Michigan are:
What cities in Michigan are hiring for Manager Generative Ai jobs? Cities in Michigan with the most Manager Generative Ai job openings:
Manager Generative Ai jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Ann Arbor, MI • On-site

Other

Re-posted 16 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply