Machine Learning Engineer

Solutiondesign; Minneapolis (MN); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

ESOP

Top Workplace awards

Medical insurance

Dental insurance

Vision insurance

Paid time off

Paid holidays

Disability insurance

Life insurance

401(k)

Technology reimbursement

Parental leave

Team events

Job summary

SDG in Minneapolis seeks a senior machine learning engineer to design, train, and deploy advanced models for enterprise clients. You will collaborate with data engineers, software teams, and stakeholders to transform raw data into actionable insights and scalable solutions.

We value hands-on experience with AWS/Azure, TensorFlow or PyTorch, Spark, and AI-assisted tooling, plus strong communication and problem-solving skills.

Qualifications

• 3+ years of hands-on ML development in a large-scale enterprise.
• Experience with AWS and/or Azure cloud platforms and services.
• Proven use of AI-assisted development tools (Claude Code, Codex, GitHub Copilot).
• Strong data processing, data engineering, and data visualization knowledge.
• Experience with SQL and NoSQL databases.
• Proficiency in Python and R.
• Familiarity with Apache Spark.
• Experience with TensorFlow or PyTorch.
• Excellent cross-functional collaboration and communication skills.
• Strong analytical and problem-solving abilities.
• Prior consulting or professional services experience is a bonus.
• Education degree or CS-related certification.

Responsibilities

• Design, implement, and optimize ML algorithms and models for business challenges.
• Collaborate with data engineers to preprocess data and perform feature engineering.
• Train, validate, and fine-tune models; evaluate and iterate for accuracy and efficiency.
• Deploy models to production and integrate with existing systems.
• Stay current with ML developments and propose new approaches.

Skills

Python

R

SQL

NoSQL

Data Visualization

Cloud AWS

Cloud Azure

TensorFlow

PyTorch

Communication

Education

Bachelor's degree in Computer Science

Tools

Claude Code

Codex

GitHub Copilot

Apache Spark

Job description

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.