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Python Ai Ml Jobs in Minnesota (NOW HIRING)

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 ...

AI Engineer - AI/ML

Minnetonka, MN ยท 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 ...

AI Engineer - AI/ML

Minnetonka, MN ยท On-site

$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 ...

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 ...

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 ...

Senior AI/ML Engineer

Eden Prairie, MN ยท On-site

$106K - $146K/yr

... Python-based ML systems using frameworks such as PyTorch, TensorFlow, or Hugging Face * 3+ years of experience building Generative AI or LLM applications including prompt engineering, model fine ...

Senior AI/ML Engineer

Eden Prairie, MN ยท On-site +1

$106K - $146K/yr

Required Qualifications: * 5 years of experience in machine learning, AI engineering, or applied data science including development of production ML systems * 5 years of experience developing Python ...

Lead AI/ML Engineer

Eden Prairie, MN ยท On-site

$145K - $249K/yr

Required Qualifications: * 5 years of experience in software, data, or AI/ML engineering * 5 years of solid programming in Python or Java * 5 years of experience with large-scale data platforms * 2 ...

Lead AI/ML Engineer

Eden Prairie, MN ยท On-site

$145K - $249K/yr

Required Qualifications: * 5+ years of experience in software, data, or AI/ML engineering * 5+ years of solid programming in Python or Java * 5+ years of experience with large-scale data platforms ...

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Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

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.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

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:

AI/ML Engineer

Digital Links Inc

Minneapolis, MN โ€ข On-site

Contractor

Posted 9 days ago


Job description

Job Description:

ย 
Role: AI/ML Engineerย 
Duration: 3-month contract (Could be extended for 6 months before conversion)
Location: Minneapolis, MN (Remote/hybrid)
ย 
Role Objective
We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade AI solutions. This role requires strong expertise in Generative AI, RAG (Retrieval-Augmented Generation), and enterprise integrations. The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases.
ย 
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 solutions from prototype to production
2. Generative AI & LLMs
Hands-on experience with LLMs (OpenAI, Vertex AI, etc.)
Strong prompt engineering and evaluation techniques
Experience building enterprise-grade GenAI applications
3. RAG (Critical Requirement)
Proven experience designing and implementing RAG architectures
Experience with vector databases (Pinecone, Weaviate, etc.)
Ability to integrate domain-specific data into AI systems
4. Agentic AI / AI Agents
Experience building AI agents / multi-agent systems
Familiarity with orchestration frameworks and modern agent SDKs
5. API & Backend Development
Strong experience with FastAPI or Flask
Ability to build scalable AI services and APIs
6. Cloud & Deployment (GCP Preferred)
Experience with GCP (preferred) or AWS/Azure
Deploying AI solutions in cloud-native environments
Understanding of scalability, performance, and cost optimization
7. DevOps & Production Readiness
Experience with CI/CD (GitLab, Jenkins)
Infrastructure as Code (Terraform/Ansible)
Monitoring, logging, and AI observability
ย 
Nice-to-Have (Strong Plus)
Experience in education / digital learning platforms
Exposure to regulated environments
Knowledge of TypeScript / Java / SQL
Experience integrating AI into enterprise systems
ย 
Experience Required
5+ years in Software Engineering / AI/ML
Proven track record of:
Delivering production AI systems
Working in Agile cross-functional teams
Driving solutions with minimal oversight