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Python Ai Ml Jobs in Minnesota (NOW HIRING)

Diverse Lynx

AI / ML Engineer

Minneapolis, MN · On-site

AI / ML Engineer Role Overview The AI/ML Engineer (Mid Level) will design, build, and deploy modern ... Write clean, maintainable, production grade code in Python. Data & Feature Engineering Perform data ...

Diverse Lynx

AI/ML Engineer

Minnetonka, MN · On-site

$100K - $120K/yr

AI/ML Engineer Job Location: Minnetonka, MN(Onsite) Job type: Full Time Salary Range: $100000 to ... Python skills and proven experience delivering end to end agentic AI systems to accelerate ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take ...

Genoa Telepsychiatry

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

AI/ML Engineer Optum is a global organization that delivers care, aided by technology to help ... Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Build and optimize end-to-end pipelines using Python (Sci-kit Learn, Pandas, Flask, LangChain ... Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable ...

Tata Consultancy Services

AI ML Data Engineer

Minnetonka, MN · On-site

$116K - $140K/yr

Tata Consultancy Services is seeking a senior, hands-on AI/ML Engineer contractor with expert level Python skills. The role involves designing and building agentic AI frameworks, engineering ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

Proficiency with programming languages such as R, Python, and Java, with a focus on data ... Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration ... Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Proficiency in programming languages such as R, Python, and Java, with a focus on data exploration ... Shape AI/ML strategies, particularly in LLMs, to drive business outcomes and establish data science ...

Genesis10

AI/ML Engineer - Remote

Rochester, MN · Remote

Expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras ...

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Python Ai Ml information

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

What are the key skills and qualifications needed to thrive as a Python AI/ML Engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What are popular job titles related to Python Ai Ml jobs in Minnesota? For Python Ai Ml jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Ai Ml jobs in Minnesota look for? The top searched job categories for Python Ai Ml jobs in Minnesota are:
What cities in Minnesota are hiring for Python Ai Ml jobs? Cities in Minnesota with the most Python Ai Ml job openings:
Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Minnesota as of June 2026, with employment types broken down into 77% Full Time, 11% Part Time, 2% Temporary, 8% Contract, and 2% Nights. Highlights an 65% Physical, 4% Hybrid, and 31% Remote job distribution.
AI / ML Engineer

AI / ML Engineer

Diverse Lynx

Minneapolis, MN • On-site

Other

Posted 29 days ago

Job description

AI / ML Engineer

Role Overview The AI/ML Engineer (Mid Level) will design, build, and deploy modern AI and machine learning solutions for healthcare clients, working closely with consultants, architects, and domain SMEs. This role is focused on applied AI delivery—not research—using cloud native, GenAI ready stacks to solve real payer and provider problems. You will contribute across the lifecycle: data preparation, model development, GenAI integration, deployment, and optimization, with a strong emphasis on responsible AI, scalability, and production readiness.

Key Responsibilities
  • AI / ML Solution Development
  • Data & Feature Engineering
  • Deployment & MLOps
  • Consulting & Client Delivery
  • Responsible AI & Compliance

AI / ML Solution Development Build and deploy ML and GenAI solutions using modern frameworks and cloud services. Develop models across use cases such as NLP, predictive analytics, classification, anomaly detection, and decision support. Implement LLM based solutions (RAG, prompt engineering, embeddings, agent assisted workflows) under architectural guidance. Write clean, maintainable, production grade code in Python.

Data & Feature Engineering Perform data ingestion, feature engineering, and data validation across structured and unstructured healthcare data. Work with large datasets using distributed processing frameworks where applicable. Partner with data engineers and SMEs to ensure data quality and relevance.

Deployment & MLOps Package and deploy models using containerized and cloud native patterns. Support model monitoring, performance tracking, retraining, and drift detection. Follow Optum standards for model reviews, documentation, and approvals.

Consulting & Client Delivery Collaborate with consultants to translate business requirements into technical AI solutions. Participate in client discussions, solution demos, and working sessions. Contribute to PoCs, pilots, and scaled implementations.

Responsible AI & Compliance Ensure solutions meet Responsible AI, security, and compliance requirements. Implement explainability, traceability, and audit ready artifacts where required. Support AI governance and review processes as part of delivery.

Required Qualifications 4–7 years of experience in AI/ML engineering or applied data science roles. Strong hands on experience with Python and ML libraries (e.g., scikit learn, PyTorch, TensorFlow). Experience building end to end ML solutions from data to deployment. Practical exposure to GenAI / LLM concepts (prompting, embeddings, RAG, APIs). Experience working in cloud environments (Azure preferred). Ability to communicate effectively with both technical and non technical stakeholders.

Preferred Qualifications Experience in healthcare, insurance, or regulated industries. Familiarity with Azure ML, Databricks, or similar platforms. Exposure to agent based or workflow oriented AI systems. Consulting or client facing delivery experience. Knowledge of Responsible AI, model governance, or compliance workflows. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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