It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:

• Supporting the Generative AI Program’s Request for Application (RFA) Process, its entrants and winners
• Providing temporary tiger-team efforts to accelerate key initiatives
• Expanding the organization’s understanding of LLM technology through:
  • Development of best practices, knowledge assets, and code examples to accelerate the efforts of others
  • Execution of technical proofs of concept and exploration
• Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences
• Providing guidance across the Generative AI program workstreams as technical experts

Position Responsibilities:

Provide technical guidance, mentorship, and support to a team of ML/MLOps engineers, fostering a collaborative and high-performing environment. Lead the design and architecture of complex AI/ML systems, ensuring scalability, maintainability, and efficiency, specifically for healthcare applications. Oversee the development, training, and deployment of large machine learning models, including deep learning, NLP, and computer vision models, ensuring they meet performance and quality standards in clinical settings. Guide the team in fine-tuning pre-trained models and applying various techniques to optimize model performance for specific healthcare applications. Stay abreast of the latest advancements in AI/ML, explore new technologies and techniques (including LLMs), and contribute to the research and development efforts within healthcare AI. Collaborate closely with data scientists, software engineers, project/program manager, product managers, and clinical stakeholders to define project requirements and deliver impactful AI solutions that integrate smoothly into clinical workflows. Define and implement best practices for AI/ML development, deployment, and monitoring, ensuring code quality, maintainability, and adherence to regulatory standards within the healthcare industry. Play a key role in shaping the organization's AI/ML technical strategy, identifying opportunities, and driving innovation in the field of healthcare AI.

A Codility Test may be required as part of the candidate selection process.

This is a full-time remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience; OR an Associate’s degree in Computer/Science/Engineering or related field with 8 years of experience.  
Proven track record of leading ML teams, with size larger than 4 engineers, to successfully design, develop, deploy AI/ML solutions in production environments, preferably within the healthcare industry. 
Have 4+ years of hands-on experiences in Python and experience with other relevant languages like R or Java.
Deep understanding of various ML approaches, including deep learning, natural language processing, and computer vision. 
Demonstrated technical leadership in managing complex projects, to navigate intricate project requirements and deliver successful outcomes.
Project experience with large and complex datasets, structured and non-structured, and extract meaningful insights.
Project experience with TensorFlow, PyTorch, scikit-learn, or other relevant ML frameworks. 
Project experiences with at least one cloud AI/ML platforms  (e.g. GCP Vertex AI, AWS SageMaker, Azure ML)
Practitioner of software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. 
Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders, including clinical staff.
Experience with Agile software development techniques.

Preferred qualifications for this position include:

Masters or PhD in Machine Learning, Artificial Intelligent or Computer Science related fields. 
Experience applying AI and machine learning in production healthcare environments.
Experience implementing MLOps capabilities at enterprise level.
Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards.
Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios.
Demonstrated experience leading technical teams in a regulated environment.