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 SDG is proud to offer an array of benefits for our employees including but not limited to 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. The salary range is subject to change and may be modified at any time. #LI-AS1 #LI-Hybrid