Senior AI/ML Engineer

🔥 0 minutes ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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NMDP

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1987

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

NMDP is a nonprofit organization (formerly Be The Match) that operates the national blood stem cell donor registry and coordinates cell therapy to treat blood cancers and other blood disorders. It recruits and registers donors, matches donors to patients, facilitates transplants, provides patient support and financial assistance, conducts and funds clinical research and trials, and leads advocacy and fundraising to expand access to life‑saving cell therapies.

📋 Description

• Design, develop, and deploy production-grade traditional machine learning models, including regression, classification, clustering, and recommender systems • Design, build, and operationalize Generative AI and Agentic AI solutions, including Retrieval Augmented Generation, to improve user experiences and automate workflows • Design, maintain, and optimize end-to-end AI/ML pipelines covering data ingestion, training, evaluation, deployment, and monitoring on cloud infrastructure • Integrate cloud-native and third-party AI SaaS solutions • Ensure AI/ML solutions are scalable, dependable, secure, and cost-effective • Create reusable components, frameworks, and best practices for AI development • Evaluate emerging AI technologies, Agentic AI protocols, and third-party low-code platforms • Solve business problems using novel techniques and innovative thinking • Partner with data scientists, architects, product managers, business stakeholders, and technical teams • Provide technical support and mentorship to enterprise technical teams • Enable other teams to adopt AI in their products • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree in computer science, information technology, engineering, or a related field is required, or equivalent related experience and/or education may substitute upon evaluation • 5+ years of experience designing and deploying ML/AI solutions in real-world environments • Alternatively, 8+ years of software development/engineering experience, including 3+ years of AI/ML experience • Proven experience with Generative AI tools and technologies, including LLMs, prompt engineering, vector databases, RAG, and fine-tuning • Knowledge of machine learning algorithms, deep learning frameworks, cloud AI, Generative AI, and emerging Agentic AI technologies • Knowledge of AWS, Azure, or GCP for scalable AI/ML development • Knowledge of responsible AI principles, bias mitigation, and ethical deployment • Knowledge of MLOps best practices, including ML CI/CD, model monitoring, and versioning • Proficiency in Python and common ML/AI libraries such as TensorFlow, PyTorch, and scikit-learn • Strong understanding of data engineering, SQL, and feature engineering • Direct experience with AWS SageMaker, Lambda, ECS, S3, and IAM • Familiarity with Docker and orchestration tools such as Airflow and Kubeflow • Experience with Git, Jira, and Confluence • Ability to build robust, scalable, efficient AI/ML solutions in cloud-native environments • Ability to translate ambiguous business problems into technical ML/AI tasks • Ability to communicate complex ideas to technical and non-technical stakeholders • Ability to learn and adapt to emerging AI technologies • Preferred: Master's or PhD, agentic AI frameworks, open-source contributions or published research, cloud AI/ML certifications, and regulated-industry experience

🏖️ Benefits

• Medical, dental, vision, life and disability benefits • Accident/critical illness/hospital benefits • Well-being benefits • Legal benefits • Identity theft benefits • Pet benefits • Retirement plan • Paid time off and holidays • Leave benefits • Incentive plans for eligible employees