Machine Learning Engineer

We are adding a Machine Learning Engineer to our team! This person 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. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. You 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. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.

SDG’s Machine Learning Engineer’s have proven experience with the following responsibilities. If you do too, we want to hear from you:

• 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 R
• Familiarity with big data technologies such as Apache Spark
• Experience with Machine Learning frameworks such as TensorFlow or PyTorch
• Ability 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
• Education degree or certification in Computer Science, or the equivalent related work experience

What's in it for you?

• Full-time salaried consultant position
• A true stake in success. SDG is an ESOP - 100% employee owned
• Star Tribune Top Workplace winner the last 7 consecutive years
• National Top Workplace in 2023, 2024 & 2025
• Engaged teammates who care about quality solutions
• Challenging and rewarding work with great customers
• Various 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 SDGer’s via internal communities, committees, and events - virtually and in person