What are the responsibilities and job description for the Machine Learning Engineer - contract to-hire position at Intuitive Technology Group?
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.
Position Overview
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
As our Machine Learning Engineer, you'll be at the heart of our MLOps practices, turning data science into real-world solutions. Here's what your exciting journey will entail :
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
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