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Azure Ai Engineer Remote Jobs in Minnesota (NOW HIRING)

Syscom, Inc.

Azure Database Engineer

Saint Paul, MN · On-site +1

$55.50 - $69/hr

Looking for your next Azure cloud data engineering challenge? If you're an experienced Database ... Remote/Hybrid. Candidates should be available to work onsite in St. Paul, MN, as needed for ...

Kobie Marketing

AI Engineer

Minneapolis, MN · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ...

Integres, LLC

Azure Database Engineer (3832)

Saint Paul, MN · On-site +1

$55.75 - $69/hr

Remote or Hybrid (444 Lafayette Road N, Saint Paul, MN 55155) Employment Type: Full-Time Interview ... Azure Database Engineer to support the State's Comprehensive Child Welfare Information System ...

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Integres, LLC

Azure Database Engineer (3832)

Saint Paul, MN · On-site +1

$55.75 - $69/hr

Remote or Hybrid (444 Lafayette Road N, Saint Paul, MN 55155) Employment Type: Full-Time Interview ... Azure Database Engineer to support the State's Comprehensive Child Welfare Information System ...

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Azure Ai Engineer Remote information

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.
What are popular job titles related to Azure Ai Engineer Remote jobs in Minnesota? For Azure Ai Engineer Remote jobs in Minnesota, the most frequently searched job titles are:
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What cities in Minnesota are hiring for Azure Ai Engineer Remote jobs? Cities in Minnesota with the most Azure Ai Engineer Remote job openings:
Azure Ai Engineer Remote jobs near you

Senior AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$120K - $214K/yr

Full-time

Retirement

Re-posted 18 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

189th of 887 rated healthcare providers

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
We are seeking a Senior AI/ML Engineer to join our dynamic Consumer Engineering team within the Chief Digital Office (CDO). In this role, you will be at the forefront of driving digital transformation, design, and deployment of scalable AI and machine learning models that directly elevate the consumer healthcare experience. You will collaborate with cross-functional teams to integrate advanced cognitive solutions, build secure and performant data pipelines, and automate infrastructure to ensure robust, enterprise-scale products. This is an exciting opportunity to leverage modern AI tools and frameworks to build products that make healthcare more accessible, personalized, and intuitive for millions of users.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Prioritize and execute tasks in the software development life cycle (SDLC) for AI/ML tools and applications
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Develop tools, pipelines, and applications by producing clean, efficient, and scalable code in Python, Core Java, or Scala
  • Automate infrastructure provisioning and development operations through appropriate scripting and tools (e.g., Terraform)
  • Review, debug, and optimize code to maintain the highest standards of software quality, security, and performance
  • Perform validation, performance, and verification testing on deep learning and machine learning models
  • Evaluate emerging trends and research in artificial intelligence and machine learning to inform solution design and strategic innovation
  • Document development phases, architectures, and monitor deployed AI systems to ensure enterprise-scale reliability

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or 4+ years of equivalent software engineering or data science experience in lieu of a degree
  • 5+ years of software development experience with proficiency in Python, Core Java, or Scala
  • 3+ years of experience designing, building, and deploying AI/ML models or pipelines into production environments
  • 3+ years of experience with cloud platforms (Azure or AWS) and container orchestration using Kubernetes
  • 2+ years of experience in data engineering (e.g., GraphQL, database design, and data pipeline construction)
  • Experience with infrastructure automation using tools such as Terraform
  • Experience utilizing version control systems (e.g., GitHub) for professional team collaboration

Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field
  • Experience working with large-scale datasets, data warehousing, and distributed query engines
  • Experience establishing continuous integration and continuous deployment (CI/CD) pipelines for ML models (MLOps)
  • Knowledge of modern Generative AI, Large Language Models (LLMs), and prompt engineering best practices
  • Proven solid analytical, communication, and collaboration skills to bridge technical concepts with business requirements

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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