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$120k–$150k/yr
Senior
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Skills: Python, Machine learning, Deep learning, Generative AI, Agentic AI
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$120k–$150k/yr
Full-time
bachelor degree, postgraduate degree
Medical, Dental, Vision, Life insurance, Disability insurance, Accident insurance
Posted 7h ago
Apply by Sep 7
~40 hrs/week
Remote in Minneapolis, Minnesota, United States
Responsibilities
The Senior AI/ML Engineer will design, develop, and deploy production-grade machine learning, Generative AI, and Agentic AI solutions to address strategic business needs. They will also collaborate with cross-functional teams to operationalize AI pipelines and provide technical mentorship across the organization.
Requirements
Candidates must have at least 5 years of experience in designing and deploying ML/AI solutions or a combination of 8 years in software engineering with 3 years in AI/ML. A bachelor's degree in a technical field is required, along with proficiency in Python, cloud platforms, and modern AI frameworks.
Full job description
POSITION SUMMARY: The Senior AI/ML Engineer will play a crucial role in the AI Center of Excellence (CoE), supporting cross-functional teams across the organization. This position will focus on designing, developing, and developing machine learning (ML), artificial intelligence (AI), Generative AI (GenAI) and Agentic AI solutions. As a member of the AI Center of Excellence, this role will focus on addressing strategic AI needs across a wide range of business domains, contributing to scalable, high-impact solutions that accelerate innovation and improve outcomes.
ACCOUNTABILITIES: Engineering:
Design, develop, and deploy production-grade traditional ML models (e.g., regression, classification, clustering, recommender systems) for a variety of business use cases.
Design, build and operationalize Gen AI (such as Retrieval Augmented Generation) and emerging Agentic AI solutions to address domain specific needs, improve user experiences and automate business workflows.
Design, maintain, and optimize end-to-end AI/ML pipelines including data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure (e.g., AWS or equivalent).
Integrate cloud-native and third-party AI SaaS solutions to accelerate delivery and reduce time to value.
Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective within cloud environments.
Create reusable components, frameworks, and best practices to accelerate AI development.
Design and Innovation:
Evaluating emerging AI technologies including GenAI and agentic AI (e.g., Model Context Protocol (MCP), Google’s Agent-to-Agent (A2A) protocol), as well as third-party low-code platforms) for their feasibility, scalability, and alignment with cross-functional business needs.
Solve for business problems by applying novel techniques and Innovating thinking.
Collaboration:
The Senior AI/ML Engineer will partner with data scientists, architects, product managers, business stakeholders, and technical teams across the organization to ensure AI solutions align with organizational goals.
Providing direct technical support and mentorship to technical teams across the enterprise is essential for enabling successful AI/ML implementations.
Enabling other teams to adopt AI Into their products
Leverage diverse skills and perspectives, leading to more effective problem-solving and decision-making.
Other duties as assigned.
REQUIRED QUALIFICATIONS: Knowledge of:
Machine learning algorithms, deep learning frameworks, Cloud AI technologies, GenAI technologies and emerging Agentic AI technologies.
Cloud platforms (e.g., AWS, Azure, GCP) for scalable AI/ML development.
Responsible AI principles, including bias mitigation and ethical deployment.
ML Ops best practices including CI/CD for ML, model monitoring, and versioning.
Proficient in Python and common ML/AI libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong understanding of data engineering, SQL, and feature engineering.
Direct experience with cloud services such as AWS Sagemaker, Lambda, ECS, S3, and IAM.
Familiarity with containerization (Docker) and orchestration (e.g., Airflow, Kubeflow).
Working with version control and collaboration tools (Git, Jira, Confluence).
Ability to:
Build robust, scalable, and efficient AI/ML solutions in cloud-native environments.
Translate ambiguous business problems into clear, technical ML/AI tasks.
Communicate complex ideas clearly to technical and non-technical stakeholders.
Learn and adapt quickly to emerging AI technologies, techniques, and tools.
Education and/or Experience:
A bachelor's degree in computer science, information technology, engineering, or a related field is required. However, equivalent related experience and/or education may be considered as a substitute for the degree requirement upon evaluation.
5+ years of experience designing and deploying ML/AI solutions in real-world environments.
Or a combination of 8 or more years of experience of software development/engineering, of which three or more years are AI/ML experience.
Proven experience with GenAI tools and technologies (e.g., LLMs, prompt engineering, Vector databases, RAG, fine-tuning)
PREFERRED QUALIFICATIONS: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)
Master’s or PhD in a related technical field.
Hands-on experience with agentic AI frameworks.
Prior contributions to open-source AI/ML projects or published research.
AI/ML certifications from cloud providers
Experience in highly regulated industries (e.g., healthcare, finance) a plus.
#LI-DNI
NMDP offers regular, full-time employees medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft and pet benefits. Retirement, paid time off/holidays, leave and incentive plans are also offered to eligible employees. Please reference this link for more information: NMDP Benefit Information
Introducing NMDP, formerly known as the National Marrow Donor Program and Be The Match. Our name has changed but our mission has not: We save lives through cell therapy.
At NMDP, we believe each of us holds the key to curing blood cancers and disorders. As a global nonprofit leader in cell therapy, NMDP creates essential connections between researchers and supporters to inspire action and accelerate innovation to find life-saving cures. With the help of blood stem cell donors from the world’s most diverse registry and our extensive network of transplant partners, physicians and caregivers, we’re expanding access to treatment so that every patient can receive their life-saving cell therapy.
NMDP. Find cures. Save lives.
Learn more about our career opportunities at www.nmdp.org/what-we-do/about-us/careers
Offices: 500 N 5th St, Minneapolis, Minnesota 55401, US
Based on 375 listings with disclosed salaries, most software jobs in Minneapolis, MN pay between $88k–$194k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Minneapolis, MN right now?
There are currently 460 open software positions in Minneapolis, MN listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Minneapolis, MN?
Companies currently hiring include U.S. Bank, RBC, SPS Commerce, Wells Fargo, Amazon, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Minneapolis, MN?
Yes — 326 of the 460 open software positions offer remote or hybrid work (99 remote, 227 hybrid).
How do I apply for Software jobs in Minneapolis, MN?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.