Machine Learning Engineer
ValueBase Consulting · St. Paul, US
Job description
Machine Learning Engineer
12+ Months
Minneapolis, MN
$55/HR on W2
****CANDIDATES SHOULD BE LOCAL AND BE ABLE TO WORK ON OUR W2 *****
- Experience Level: 3-5 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 the Machine Learning Engineer, you’ll dive into exciting projects that push the boundaries of AI. Here’s what you can expect:
- Design and implement advanced machine learning models using Python, focusing on solving complex business challenges
- Develop and optimize data pipelines using Snowflake for efficient data processing and model training
- Leverage Azure ML for model deployment and Azure DevOps for streamlined development workflows
- Collaborate with cross-functional teams to understand requirements and establish project goals
- Conduct thorough data analysis, preprocessing, and feature engineering to prepare datasets for model training
- Implement and fine-tune machine learning algorithms to maximize model performance and accuracy
- Utilize Git and GitHub for version control and collaborative development
What You Bring to the Table
- 3-5 years of hands-on experience in machine learning engineering
- Strong proficiency in Python and its ML-related libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience with Snowflake, Azure ML, and Azure DevOps
- Solid understanding of data structures, algorithms, and software architecture
- Expertise in statistical analysis and model optimization techniques
- Familiarity with Git and GitHub for version control
- Excellent problem-solving skills and attention to detail
Strong communication abilities and a collaborative mindset
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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