Machine Learning Engineer

About the role

The Machine Learning Engineer will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer’s products and services. They will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions.

Responsibilities

• Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
• Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models.
• Conduct feature engineering to extract relevant information for model training.
• Train, validate, and fine-tune machine learning models using state-of-the-art techniques.
• Evaluate model performance and iterate on models to improve accuracy and efficiency.
• Deploy machine learning models into production environments and integrate them into existing systems.
• Collaborate with software engineers to ensure seamless integration with our products.
• Stay abreast of the latest developments in machine learning and related fields.
• Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.

Requirements

• 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment.
• Experience with Public Cloud Providers such as AWS and Microsoft Azure.
• Experience with AWS and/or Azure data tools and services.
• Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving.
• Strong understanding of data processing, data engineering, and data visualization.
• Experience with SQL and NoSQL databases.
• Proficient in programming languages such as Python and RF.
• Familiarity with big data technologies such as Apache Spark.
• Experience with Machine Learning frameworks such as TensorFlow or PyTorch.
• Able to work effectively in a collaborative, cross-functional team environment.
• Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
• Prior consulting or professional services experience is a bonus.

Qualifications

• Education degree or certification in Computer Science, or the equivalent related work experience.

Skills

• Machine Learning Frameworks (TensorFlow, PyTorch)
• Data Engineering Tools (AWS, Azure)
• AI-Assisted Development Tools (Claude Code, Codex, GitHub Copilot)
• Big Data Technologies (Apache Spark)
• Programming Languages (Python, R)
• SQL and NoSQL Databases
• Feature Engineering
• Model Training and Validation
• Cloud Deployment and Integration
• Complex Problem Solving
• Communication and Stakeholder Management

Benefits

• Full-time salaried consultant position
• ESOP - 100% employee owned
• Star Tribune Top Workplace winner the last 7 consecutive years
• National Top Workplace in 2023, 2024 & 2025
• Challenging and rewarding work with great customers
• Variety of opportunities to give back to the community
• Be amongst some of the best technologists in the industry
• Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
• Opportunities to connect with other SDGers via internal communities, committees, and events – virtually and in person
• Array of benefits including medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins
• Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience.