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Devops Ai Jobs in Minnesota (NOW HIRING)

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

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

Programmers.io

AI Lead

Minneapolis, MN · On-site

... Experience with DevOps practices for machine learning, including CI/CD for AI systems, containerization (Docker), and orchestration (Kubernetes). · Soft Skills: o Strong communication and ...

SysMind Tech

DotNet Developer

Minneapolis, MN · On-site

$50.25 - $66.50/hr

... SQL, PostgreSQL, Oracle, DevOps, Jenkins " • Strong knowledge/experience in AWS, including ... fixes • Knowledge/experience in AI technologies, including Co-pilot solutions and ...

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Experience with deployment and DevOps practices * Exposure to agentic AI systems Why You'll Love It Here * Build AI that ships: every project ends in a live deployment, not a slide deck * Craft meets ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

... DevOps, and/or AI/ML infrastructure roles * Hands-on experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and CI/CD tools * Strong understanding of MLOps ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

... DevOps, and/or AI/ML infrastructure roles * Hands-on experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and CI/CD tools * Strong understanding of MLOps ...

Mortenson

AI Engineer

Minneapolis, MN · On-site

$85K - $128K/yr

... DevOps, and/or AI/ML infrastructure roles * Hands-on experience with cloud platforms (Azure preferred), containerization (Docker/Kubernetes), and CI/CD tools * Strong understanding of MLOps ...

LRS

Senior Java Developer

Minneapolis, MN · On-site

$70 - $100/hr

... enterprise DevOps environments Strong SQL/database experience, ideally with high-performance ... AI may be used in the hiring process solely in support of the assessment of candidate ...

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Devops Ai information

What is the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

Is DevOps a good career with AI?

DevOps professionals working with AI integrate automation, cloud platforms, and machine learning tools to improve software deployment and system reliability. The field offers high demand, competitive salaries, and opportunities to work with emerging technologies, making it a strong career choice for those interested in AI and automation. Skills in scripting, cloud services, and AI frameworks are valuable in this role.

What are popular job titles related to Devops Ai jobs in Minnesota?

For Devops Ai jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Devops Ai jobs in Minnesota look for?

The top searched job categories for Devops Ai jobs in Minnesota are:

Devops Ai jobs near you
Infographic showing various Devops Ai job openings in Minnesota as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 64% In-person, 8% Hybrid, and 28% Remote job distribution.

AI/ML Engineer

Digital Links Inc

Minneapolis, MN • On-site

Contractor

Re-posted yesterday

Job description

Job Description:

 
Role: AI/ML Engineer 
Duration: 3-month contract (Could be extended for 6 months before conversion)
Location: Minneapolis, MN (Remote/hybrid)
 
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.
 
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
 
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
 
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