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Machine Learning Engineer Hybrid Jobs in Minnesota

AI engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Job Overview We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and ...

Software Engineer - Hybrid

Rochester, MN ยท Hybrid

$102K - $143K/yr

... engineers, and clinicians to turn prototypes-including generative-AI and large-language-model ... Success is built on experience with Python coding, modern cloud platforms, machine learning, and ...

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

We're looking for a Principal Machine Learning Engineer to build AI features for the family. Qualifications: * A confident craftsperson who possesses problem-solving tools and can discuss multiple ...

Electrical Engineer - Hybrid

Minneapolis, MN ยท On-site

$65K - $105K/yr

Electrical Engineer - Hybrid Our growing firm is looking for passionate problem-solvers driven to ... learning and professional development. * Perform construction phase site observations and prepare ...

Electrical Engineer - Hybrid

Minneapolis, MN ยท Hybrid

$65K - $105K/yr

Electrical Engineer - Hybrid Our growing firm is looking for passionate problem-solvers driven to ... learning and professional development. * Perform construction phase site observations and prepare ...

Electrical Engineer - Hybrid

Minneapolis, MN ยท On-site

$65K - $105K/yr

Electrical Engineer - Hybrid Our growing firm is looking for passionate problem-solvers driven to ... learning and professional development. * Perform construction phase site observations and prepare ...

... engineers, and clinicians to turn prototypes-including generative-AI and large-language-model ... Success is built on experience with Python coding, modern cloud platforms, machine learning, and ...

... engineers, and clinicians to turn prototypes-including generative-AI and large-language-model ... Success is built on experience with Python coding, modern cloud platforms, machine learning, and ...

... engineers, and clinicians to turn prototypes-including generative-AI and large-language-model ... Success is built on experience with Python coding, modern cloud platforms, machine learning, and ...

Structural Staff Engineer I & II - Hybrid Our growing firm is looking for motivated problem-solvers ... learning and professional development. * Perform construction phase site observations and prepare ...

Structural Staff Engineer I & II - Hybrid Our growing firm is looking for motivated problem-solvers ... learning and professional development. * Perform construction phase site observations and prepare ...

Structural Staff Engineer I & II - Hybrid Our growing firm is looking for motivated problem-solvers ... learning and professional development. * Perform construction phase site observations and prepare ...

AI Solutions Architect

Minneapolis, MN ยท On-site

$65.75 - $86.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$104K - $137K/yr

Build machine learning models; perform proof-of-concept experiments; optimize and deploy models to production; partner with software engineers to productionize ML models * Perform hands-on analysis ...

Lead AI/ML Engineer - Remote

Eden Prairie, MN ยท On-site +1

$104K - $137K/yr

Build machine learning models; perform proof-of-concept experiments; optimize and deploy models to production; partner with software engineers to productionize ML models * Perform hands-on analysis ...

Senior Food Process Engineer (Hybrid) VAA is seeking a Senior Food Process Engineer to join our ... Ongoing professional development, including mentoring, online learning and tuition reimbursement.

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Machine Learning Engineer Hybrid information

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

What are popular job titles related to Machine Learning Engineer Hybrid jobs in Minnesota? For Machine Learning Engineer Hybrid jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Machine Learning Engineer Hybrid jobs? Cities in Minnesota with the most Machine Learning Engineer Hybrid job openings:

AI engineer

Staxa Technologies

Minneapolis, MN โ€ข On-site

$119K - $143K/yr

Other

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Job description

Job Overview
We are seeking an experienced AI / Machine Learning Engineer to design, build, and deploy production-grade AI systems. In this role, you will bridge the gap between AI research and scalable software engineering. You will own the lifecycle of our AI features, from initial data curation and model selection to cloud deployment and continuous monitoring.
Core Responsibilities
  • Model Development: Design, train, and fine-tune machine learning models, including Large Language Models (LLMs) and predictive algorithms.
  • System Architecture: Build robust, scalable, and secure data pipelines and AI infrastructures to support real-time inference.
  • Production Deployment: Deploy models to cloud environments using modern MLOps practices, ensuring high availability and low latency.
  • Optimization: Monitor system performance, optimize inference costs, and debug complex model behaviors in production.
  • Collaboration: Work closely with Product Managers, Data Engineers, and Frontend developers to integrate AI features into user-facing products.
Required Technical Skills
  • Programming: Advanced proficiency in Python (knowledge of C++ or Go is a plus).
  • Frameworks: Deep hands-on experience with PyTorch or TensorFlow.
  • GenAI / LLM Stack: Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant).
  • Data Engineering: Strong competency in SQL and experience handling large datasets using tools like pandas or Apache Spark.
  • MLOps & Cloud: Hands-on experience with cloud providers (AWS, Google Cloud Platform, or Azure) and containerization tools like Docker and Kubernetes.
Qualifications & Experience
  • Education: Bachelorโ€™s, Masterโ€™s, or PhD in Computer Science, Data Science, Mathematics, or a highly quantitative field.
  • Experience: 5+ years of software engineering experience, with at least 3+ years dedicated to building and deploying AI/ML models in a commercial production environment.
  • Portfolio: A proven track record of shipping AI features that directly impacted business metrics or user experience.