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Contract Generative Ai Jobs in Michigan (NOW HIRING)

Partners Group

MI · On-site

Demonstrated hands-on experience with, or strong demonstrable interest in, legal technology and AI-enabled tools (e.g., contract lifecycle management, document automation, generative AI assistants ...

LangChain

Enterprise Account Executive (Ohio)

Detroit, MI · On-site

$300 - $350/hr

Negotiate pricing and deal terms and work with legal to redline contracts * Bring customer insights ... Passionate about generative AI and excited to help customers navigate a rapidly evolving industry ...

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Contract Generative Ai information

What is a contract generative AI?

A Contract Generative AI professional is an expert who works on a contractual basis to develop, implement, or manage generative artificial intelligence solutions for organizations. This role typically involves creating AI models that can generate content, images, text, or other data using advanced machine learning techniques. Contract Generative AI professionals may work on specific projects such as building chatbots, automating content creation, or developing creative AI tools. Their expertise is often sought for temporary assignments, allowing companies to leverage AI capabilities without hiring full-time staff.

What are the key skills and qualifications needed to thrive as a contract generative AI?

To thrive as a Contract Generative AI Specialist, you need a solid background in machine learning, deep learning, and natural language processing, often backed by a degree in computer science or related fields. Experience with frameworks like TensorFlow or PyTorch, proficiency in programming languages such as Python, and familiarity with cloud platforms and model deployment tools are typically required. Strong problem-solving skills, adaptability, and clear communication help professionals excel in dynamic project environments and collaborate with diverse stakeholders. These competencies ensure the effective design, implementation, and delivery of advanced AI solutions that meet client needs and industry standards.

What are some common challenges faced by professionals in a contract generative AI role, and how can they be addressed?

Professionals working in contract Generative AI roles often encounter challenges such as rapidly adapting to new project requirements, integrating with existing client teams, and staying updated with the latest advancements in AI models and tools. Because contract positions may have tight deadlines and shifting priorities, effective communication and proactive project management are essential. Building a strong portfolio, maintaining up-to-date technical skills, and fostering collaborative relationships with client stakeholders can help address these challenges and lead to successful project outcomes.

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

AspectContract Generative AiData Scientist
Required CredentialsTypically a background in AI, machine learning, or computer science; certifications in AI tools are commonDegree in data science, statistics, or related fields; certifications in data analysis or machine learning
Work EnvironmentProject-based, often freelance or temporary contracts, working with AI models and toolsFull-time or consulting roles within organizations, analyzing data to inform decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on AI model deploymentVarious industries including finance, healthcare, tech, and marketing, focusing on data analysis

Contract Generative Ai specialists focus on developing and deploying AI models on a contractual basis, often working with specific projects. Data Scientists analyze data to extract insights, typically in a full-time role. While both roles require technical expertise, Contract Generative Ai professionals are more specialized in AI model creation, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Generative Ai jobs in Michigan?

The most popular types of Generative Ai jobs in Michigan are:

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For Contract Generative Ai jobs in Michigan, the most frequently searched job titles are:

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The top searched job categories for Contract Generative Ai jobs in Michigan are:

What cities in Michigan are hiring for Contract Generative Ai jobs?

Cities in Michigan with the most Contract Generative Ai job openings:

Contract Generative Ai jobs near you

Automotive Propulsion Software Research Engineer

Lorven Technologies

Warren, MI • On-site

Full-time

Re-posted 23 days ago

Job description

Role: Automotive Propulsion Software Research Engineer
Location: Fully onsite. Warren, MI
Contract role
Job description:
Develop an LLM and agent based assistant to automate simulation setup, run deck generation, boundary condition/mesh recommendations, results review, and requirements alignment across 1D/3D tools (e.g., GT POWER/Simcenter Amesim, ANSYS/STAR CCM+, MATLAB/Simulink).
Surrogate Modeling & Automated Design Space Exploration (DSE): Build physics informed ML surrogates for key propulsion performance metrics (e.g., torque, BSFC/efficiency, thermal limits, emissions proxies, e drive efficiency maps) and integrate them with active learning data generation and multi objective optimization
MS or PHD in Computer Science, Computer Engineering, or Electrical Engineering
Skillset: Python programming (critical); Experience in AI/ML, preferably Generative AI (critical); familiarity with embedded software development lifecycle and systems engineering activities
• System architecture covering data sources (requirements, prior studies, PLM), tools (1D/3D solvers), and results storage (Lakehouse).
• Document parsing pipelines for requirements/specs/test plans; establish content normalization (Markdown/JSON).
• Agent workflows for: interpreting change requests, proposing simulation plans, generating run decks/templates, mesh/BC suggestions, and automated post processing.
• Chat + form based UI to request studies, generate inputs, and review outputs.
• Integration with Databricks (Lakehouse, MLflow, Model Serving) for versioning, observability, and scalable compute.
• Define target responses (e.g., torque map, efficiency map, pressure ratios, temperatures, emissions proxies), inputs (geometry/controls/operating points), and constraints.
• Data model and schema for simulation inputs/outputs; provenance and UQ metadata.
• Orchestrate solver sweeps (1D/CFD/FEA where applicable) to seed the dataset.
• Implement adaptive sampling/active learning to target high value points that reduce model error.
• Train candidate surrogates (e.g., GPR, XGBoost/TabNet, feedforward NNs, physics informed NNs).
• Cross validation, error budgets, calibration; uncertainty quantification and guardbanding.
• Integrate surrogates with DSE (e.g., Bayesian Optimization, NSGA II) to target objectives (efficiency/BSFC, mass, cost, thermal margins) under constraints (emissions/temperature/packaging).
• Optional coupling to MDAO toolchains (e.g., ModelCenter/HEEDS/Simcenter).
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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