Machine Learning Engineer
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- open for 1004 days (90+ without a fill is a strong ghost signal)
- no salary disclosed (correlates with ghost postings)
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About the role
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
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