Machine Learning Engineer

Intuitive Technology Group - Transforming Tomorrow; Saint Paul (MN); Hybrid; USD 75,768 - 110,208; Full time

Job summary

An exciting opportunity awaits a talented Machine Learning Engineer to join an innovative team in the Twin Cities. This role focuses on bridging the gap between data science and production, ensuring that machine learning models are effectively deployed and maintained. You'll collaborate closely with data scientists, optimize model performance, and contribute to a culture of continuous improvement. If you're passionate about making a real-world impact through AI solutions and thrive in a collaborative environment, this position offers the perfect platform for your skills and creativity. Join a forward-thinking company that values innovation and teamwork!

Qualifications

• 4+ years of experience in machine learning engineering or related field.
• Strong proficiency in Python and SQL is essential.

Responsibilities

• Collaborate with data scientists to optimize machine learning models.
• Engineer and maintain robust machine learning models in production.

Skills

Python

SQL

Machine Learning Engineering

Communication Skills

Problem-Solving

Tools

Azure ML

Snowflake

Git

Azure DevOps

CI/CD Pipelines

Job description

Intuitive Technology Group - Transforming Tomorrow provided pay range

This range is provided by Intuitive Technology Group - Transforming Tomorrow. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$55.00/hr - $80.00/hr

Exciting opportunity for a Machine Learning Engineer in the Twin Cities!

This is a contract-to-hire position.

Are you passionate about bringing machine learning models to life in production environments? We're seeking a talented Machine Learning Engineer to join our client's innovative team in the south metro of the Twin Cities. In this role, you'll be the bridge between data science and production, ensuring AI solutions make a real-world impact.

• Experience Level: 4+ years
• Work Arrangement: Hybrid (3 days onsite per week)
• Location: South Metro, Twin Cities (local candidates only)
• Employment Type: Contract to Hire

What You'll Do

• Collaborate closely with data scientists to understand and take ownership of their models and notebooks
• Engineer robust, supportable machine learning models for production workflows
• Ensure the ongoing care, feeding, and maintenance of deployed models
• Bring fresh ideas and updates to the table, working hand-in-hand with data scientists and team members
• Take the lead in improving our MLOps practices, always staying ahead of the curve
• Optimize model performance and ensure scalability in production environments
• Apply security best practices for deploying and maintaining models
• Contribute to a collaborative team environment where everyone pitches in to get the job done

Your Toolkit

• Strong proficiency in Python and SQL
• Hands-on experience with Azure ML
• Familiarity with Snowflake (highly desirable)
• Experience with CI/CD pipelines and version control systems like Git
• Expertise in Azure DevOps for streamlined development workflows

What Sets You Apart

• 4+ years of experience in machine learning engineering or related field
• Ability to work independently while maintaining strong collaboration with the team
• Excellent communication skills to bridge the gap between technical and non-technical stakeholders
• Proactive mindset and willingness to take initiative
• Strong problem-solving skills and meticulous attention to detail
• A true team player with a highly collaborative spirit

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Engineering and Information Technology

Industries

Retail Health and Personal Care Products