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:

• Building the most trusted generative AI and automation solutions to benefit patients worldwide.
• 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:

• Leverage machine learning techniques such as deep learning, natural language processing, computer vision, large language models, to lead the design, development, testing and deployment of machine learning and deep learning models for healthcare applications. 
• Work on the full spectrum of the AI life cycle from ideation to production. 
• Leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and integrated smoothly into clinical processes.
• Collaborate with multidisciplinary teams to support the engineering and implementation of AI/ML solutions. 
• Develop robust machine learning pipelines to support production processes and setting new benchmarks for safety and effectiveness in clinical settings.
• Facilitate consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools, frameworks and associated MLOps pipelines.
• Contribute to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms.
• Provide mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. 
• Provide consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems.
• Provide training and education to healthcare staff on AI tools and technologies.
• Contribute to developing new AI methods and technologies that can advance the state-of-the-art in 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.  Incumbent must live within the United States.

Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate’s degree in Computer/Science/Engineering or related field with 7 years of experience. 
Have 3+ years of hands-on experiences in Python and experience with other relevant languages like R or Java. Strong understanding of ML algorithms and techniques: Solid grasp of supervised learning, unsupervised learning, deep learning, and other ML concepts. 1+ years of hands-on experience with TensorFlow, PyTorch, scikit-learn, or other ML frameworks. Ability to work with large and complex datasets, structured and non-structured, and extract meaningful insights. Demonstrated problem solving and time management skills. Possesses strong technical aptitude for designing and implementing software solutions. Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. Deep hands-on technical expertise, excellent verbal and written communication skills. 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, highlighting an understanding of healthcare technology.
• Experience implementing MLOps capabilities at enterprise level.
• Skilled in AI/ML techniques and frameworks
• Project experience working with cloud AI/ML services (e.g. GCP Vertex AI, AWS SageMaker, Azure ML)
• Demonstrated leadership in managing complex projects, to navigate intricate project requirements and deliver successful outcomes.
• Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders.
• Demonstrated expertise in cloud infrastructure environment and software development tools.
• Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities.
• Demonstrated initiative in administration, education, software development, and technical reporting. 
• Mentor less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
• 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/quantitative teams in a regulated environment.
• Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.