[Remote] AI-ML Engineer - Finance-Remote

Note: The job is a remote job and is open to candidates in USA. Mayo Clinic is a top-ranked healthcare provider dedicated to putting the needs of patients first while investing in their employees. The AI/ML Engineer will play a pivotal role in developing and deploying AI/ML solutions to enhance patient care and operational efficiency, collaborating with a multidisciplinary team to integrate these solutions into clinical practice. Responsibilities • Working on component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. • Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions. • Interpreting / analyzing data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications. • Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to design, develop and deploy end-to-end AI solutions for healthcare applications. • Participating in the engineering of systems crucial for developing and deploying AI solutions. • Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. • Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms. • Providing training and education to healthcare staff on the use of AI tools and technologies. Skills • A master’s degree in engineering, computer science, mathematics, health science, or a related field and 1 year experience required • OR A bachelor’s degree with 3 years of experience required • Experience applying AI and machine learning in production environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. • Skill in cloud infrastructure environment and software development tools. • Experience working with large, complex, and heterogeneous data sets, preferably in healthcare. • Skill in AI/ML techniques and frameworks. • History of collaborating 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. • Strong interpersonal, communication, and time management skills. • A Ph.D. or other doctorate degree is preferred. • Expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc. • 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. • Expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice. • Ability to articulate complex technical concepts to diverse audiences, facilitating clear understanding and engagement from technical and non-technical stakeholders. • Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends. • Experience with healthcare industry informatics standards, best practices, and common data models. Benefits • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Company Overview • MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research. It was founded in 1864, and is headquartered in Rochester, Minnesota, USA, with a workforce of 10001+ employees. Its website is https://www.mayoclinic.org.