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Freelance Edge Ai Machine Learning Jobs in Minnesota

HP

Director of AI (Virginia)

Virginia, MN · On-site

$174K - $305K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

HP is leveraging cutting-edge AI methodologies to unlock transformative value for the company. New ... The HP Enterprise AI & Machine Learning team is at the center of this transformation, driving ...

New

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... on edge or resource-limited compute systems • Experience with Explainable/Auditable AI/ML tools ...

Solution Design Group

Machine Learning Engineer

Minneapolis, MN · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub ... Experience with Machine Learning frameworks such as TensorFlow or PyTorch * Ability to work ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We seek to advance AI, CV, and other related fields through research and development and ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Freelance Edge Ai Machine Learning information

Is freelance Edge AI machine learning a good career?

Freelance Edge AI machine learning is a growing field that involves developing models for deployment on edge devices like IoT sensors and smartphones. It requires skills in machine learning, embedded systems, and programming, and offers flexibility and diverse project opportunities. However, competition and the need for continuous learning are factors to consider when pursuing this career path.

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Freelance Edge Ai Machine Learning jobs near you

Data Scientist, Principal - AI Product Engineering (Minneapolis)

Blue Shield of CA

Minneapolis, MN • On-site

Full-time

Posted yesterday

New

Job description

Your Role

The AI & Machine Learning team works in partnership across the enterprise to accelerate business outcomes by applying AI, machine learning, and generative AI to build intelligent products that create intelligence at scale. Reporting to the Director, AI & Machine Learning, the Data Scientist, Principal will lead the development and deployment of novel applications that leverage generative AI models. This role focuses on rapidly developing new features and working across partner teams to deliver solutions and maximize impact, translating cutting-edge AI research into real-world products and taking features from 0 to 1. You will design, build, and ship production-grade AI products including LLM-powered applications, AI agents and copilots, retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical insights, and member experience. You will set the technical direction for how AI is applied across the organization.

Our leadership model is about developing great leaders at all levels and creating opportunities for our people to grow - personally, professionally, and financially. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.

Your Knowledge and Experience
  • Bachelor's degree in computer science, a quantitative discipline, or equivalent practical experience; Master's degree or PhD preferred
  • 10 years of prior relevant experience in data science, machine learning, applied AI/ML, software engineering, or advanced analytics
  • Proven track record of building and shipping software products rapidly, not just developing models or analyses
  • Strong software engineering skills and proficiency in Python, including building APIs and backend services
  • Experience leading ML design and optimizing ML infrastructure, model deployment, evaluation, and data processing, and working with machine learning frameworks and libraries
  • Hands-on experience with deep learning and LLM application frameworks, including PyTorch, TensorFlow, LangChain, and LangGraph
  • Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG)
  • Experience with generative AI research or applications preferred
  • Experience designing agent-based systems and orchestration frameworks preferred
  • Experience with cloud computing platforms and infrastructure (e.g., Azure, Google Cloud, or AWS), and scalable data processing with SQL or Spark preferred
  • Solid MLOps and LLMOps practices, including CI/CD, monitoring, and model lifecycle management preferred
  • Experience rapidly developing and shipping software in a fast-paced, customer-facing environment, adapting to changing priorities preferred
  • Understanding of responsible AI and governance for regulated or healthcare environments preferred
Hybrid

This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.

Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.

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