Machine Learning Engineer

About SDG

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.

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.

Qualifications

• 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.

Benefits and Compensation

• 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 SDGers via internal communities, committees, and events – virtually and in person.
• Medical, dental, and vision insurance benefits; paid time off; paid holidays; short and long‑term disability; life insurance options; a monthly technology reimbursement allowance; 401(k); birth and non‑birth parent leave; ESOP; trainings and certifications; and company‑owned cabins.
• Salary range: $130,000 – $170,000 (subject to change).

Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or take over sponsorship of an employment visa at this time.