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Director Of Machine Learning Jobs in Minnesota (NOW HIRING)

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

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All JobsOf Machine Learning JobsDirector Of Machine Learning JobsDirector Of Machine Learning Jobs in Minnesota

Director Of Machine Learning information

What does a director of machine learning do?

A Director of Machine Learning leads and oversees machine learning teams and projects within an organization. They are responsible for setting the strategic direction for AI and ML initiatives, managing research and development, and ensuring successful deployment of machine learning solutions. Their role often includes collaborating with other departments, mentoring staff, and staying updated with the latest advancements in the field. Ultimately, they ensure that machine learning technologies are effectively leveraged to meet business goals.

What are the typical challenges a director of machine learning faces when leading cross-functional teams?

As a Director of Machine Learning, one common challenge is aligning the goals and expectations of data scientists, engineers, and business stakeholders. Balancing innovative research with practical deployment requires strong communication and prioritization skills. Additionally, ensuring that machine learning solutions are scalable, ethical, and meet organizational needs often involves navigating resource constraints and evolving technologies. Effective directors foster collaboration, provide technical guidance, and help teams stay focused on deliverable outcomes.

What are the key skills and qualifications needed to thrive as a director of machine learning, and why are they important?

To thrive as a Director Of Machine Learning, you need advanced expertise in machine learning algorithms, statistical analysis, and a strong background in computer science or a related field, typically supported by a master's or PhD degree. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud platforms, along with project management experience, is essential. Leadership, strategic vision, and excellent communication skills are crucial soft skills for guiding teams and aligning ML initiatives with business goals. These skills ensure that complex ML projects are successfully designed, implemented, and deliver tangible value to the organization.
Director Of Machine Learning jobs near you

Machine Learning Engineer

Minneapolis, MN • On-site

Solution Design Group
IT Services • 201 - 500 employees
Learn more about Solution Design Groupexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

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. 

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.
 
 
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.
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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