ML Engineer - Cloud-Native & Production ML

Solution Design Group

Minneapolis (MN)

On-site

USD 130,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Insurance
401k

Job summary

Solution Design Group is seeking a Machine Learning Engineer in Minnesota to design, implement, and deploy ML models for customer products. You will collaborate with data scientists, software engineers, and domain experts to drive practical ML solutions.

A strong, collaborative mindset and continuous learning are essential. You will work on model training, deployment, and integration with existing systems, using AWS/Azure data tools and cutting-edge frameworks.

Qualifications

  • 3+ years of hands-on machine learning development experience in a large-scale enterprise
  • Experience with AWS and/or Azure data tools and services
  • Proficient in Python and R
  • Strong understanding of data processing, data engineering, and data visualization
  • Experience with SQL and NoSQL databases
  • Familiarity with big data technologies like Apache Spark
  • Experience with ML frameworks such as TensorFlow or PyTorch

Responsibilities

  • Design, implement, and optimize ML models for business problems
  • Preprocess data with data engineers and perform feature engineering
  • Train, validate, and fine-tune models; evaluate and iterate for accuracy
  • Deploy models into production and integrate with software systems
  • Stay current with ML advances and propose improvements

Skills

Machine Learning
Python
SQL
NoSQL
Cloud (AWS/Azure)
TensorFlow/PyTorch
Spark
Data Visualization
Code Collaboration Tools

Education

Computer Science degree or equivalent

Tools

TensorFlow
PyTorch
Apache Spark
Claude Code / Codex / GitHub Copilot

Job description

Solution Design Group is seeking a Machine Learning Engineer in Minnesota to design, implement, and deploy ML models for customer products. You will collaborate with data scientists, software engineers, and domain experts to drive practical ML solutions.

A strong, collaborative mindset and continuous learning are essential. You will work on model training, deployment, and integration with existing systems, using AWS/Azure data tools and cutting-edge frameworks.

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