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Ai Optimization Jobs in Minnesota (NOW HIRING)

THOMSON REUTERS

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop highly optimized environment and eliminate performance bottlenecks to reduce latency. * Collaborate with Platform Engineering teams (Landing Zones, Network, Storage, Compute, AI) to ensure ...

Thomson Reuters

Senior Inference Engineer - AI

Eagan, MN · On-site

$106K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop highly optimized environment and eliminate performance bottlenecks to reduce latency. * Collaborate with Platform Engineering teams (Landing Zones, Network, Storage, Compute, AI) to ensure ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

  • Medical

  • Retirement

  • PTO

A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental ... Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

... optimization 7. DevOps & Production Readiness Experience with CI/CD (GitLab, Jenkins) Infrastructure as Code (Terraform/Ansible) Monitoring, logging, and AI observability Nice-to-Have (Strong Plus ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

  • Medical

  • Retirement

  • PTO

A pragmatic optimizer who identifies the need for change, articulates it, and drives incremental ... Significant experience in AI/ML engineering with a strong data science background. * Demonstrated ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

  • Retirement

Come make an impact on the communities we serve as you help us advance health optimization on a ... We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ...

UnitedHealth Group

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

  • Retirement

Come make an impact on the communities we serve as you help us advance health optimization on a ... We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations in claims ...

Motion Recruitment

AI Prompt Engineers

Minneapolis, MN · On-site

As a Prompt Engineer, you will play a crucial role in our AI development team by designing and developing prompts that enable optimal performance from our AI models and algorithms. Your skills in ...

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Ai Optimization information

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.
What are popular job titles related to Ai Optimization jobs in Minnesota? For Ai Optimization jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in Minnesota look for? The top searched job categories for Ai Optimization jobs in Minnesota are:
What cities in Minnesota are hiring for Ai Optimization jobs? Cities in Minnesota with the most Ai Optimization job openings:
Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Cloud Infrastructure Engineer - AI Reviewer - Remote

micro1 AI

Minneapolis, MN • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

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