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Mlops Data Engineer Jobs in Minnesota (NOW HIRING)

Socket.dev

Senior AI Engineer

Virginia, MN · On-site

$170 - $185/hr

Model lifecycle management (MLOps) * Data engineering and pipelines Key Responsibilities * Implement and deploy solutions leveraging Azure AI Foundry and Azure Machine Learning * Utilize Azure OpenAI ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Operationalize ML models and AI agents through MLOps practices - model versioning, monitoring ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and ... Operationalize ML models and AI agents through MLOps practices - model versioning, monitoring ...

XFORIA Inc

Mlops Engineer - only W2

Minneapolis, MN · On-site

$119K - $143K/yr

Data pre-processing * Batch prediction workflows * Post-processing activities ML Pipeline ... Applying data engineering principles for large-scale data processing Preferred Qualifications

Jobtailor

Data Architect

Virginia, MN · On-site

$140 - $210/hr

Partner with AI/ML, MLOps, and analytics teams to enable production‑grade model development and ... Mentor junior architects and engineers while providing technical leadership across engagements ...

Centraprise

ML Engineer

Minneapolis, MN · On-site

Understanding of ML system design (data leakage, training-serving skew, drift). * CI/CD and DevOps practices applied to ML workloads (MLOps). * Experience with feature stores, model registries, and ...

Deloitte

AI Engineer Consultant

Minneapolis, MN · Hybrid

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Minnesota

Mlops Data Engineer information

What is the difference between Mlops Data Engineer vs Data Scientist?

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of MLOps Data Engineer?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Minnesota? For Mlops Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Minnesota look for? The top searched job categories for Mlops Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Mlops Data Engineer jobs? Cities in Minnesota with the most Mlops Data Engineer job openings:
Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior AI Engineer

Socket.dev

Virginia, MN • On-site

$170 - $185/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Job Description

We are seeking a highly experienced Senior AI Engineer with deep expertise in Microsoft AI ecosystem, including M365 Copilot, Copilot Studio, Azure AI Foundry, Azure Machine Learning, AI Services, Power Platform, and SharePoint.This role requires a strong blend of AI/ML engineering, enterprise solution architecture, and Microsoft platform expertise to design, develop, and deploy intelligent, scalable solutions that transform business productivity and automation.

Required Qualifications
  • 10–12 years of overall experience in software engineering / AI / data engineering
  • Hands-on experience with:
  • M365 Copilot and Copilot Studio
  • Azure AI Foundry / Azure OpenAI
  • Azure Machine Learning
  • Azure Cognitive Services / AI Services
  • Power Platform (Power Apps, Power Automate, Power Virtual Agents)
  • SharePoint Online & Microsoft 365 ecosystem
  • Strong programming skills in Python, C#, or JavaScript
  • Experience with REST APIs, microservices, and cloud-native architectures
  • Solid understanding of:
  • NLP and generative AI
  • Model lifecycle management (MLOps)
  • Data engineering and pipelines
Key Responsibilities
  • Implement and deploy solutions leveraging Azure AI Foundry and Azure Machine Learning
  • Utilize Azure OpenAI, Cognitive Services, and AI Services for advanced AI solutions
  • Implement responsible AI practices (governance, security, compliance)
  • Design and implement enterprise-grade solutions using M365 Copilot and Copilot Studio
  • Develop custom copilots, plugins, and AI extensions aligned with business workflows
  • Integrate Copilot capabilities across Microsoft 365 apps (Teams, Outlook, SharePoint, etc.)
  • Build conversational AI experiences using natural language processing (NLP)
  • Integrate AI capabilities into low-code/no-code platforms
  • Automate complex workflows and business processes
  • Mentor junior engineers and guide cross-functional teams
  • Collaborate with business stakeholders to translate requirements into AI solutions

Pay: $170,000.00 - $185,000.00 per year

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance

Work Location: Hybrid remote in Loudoun County, VA

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