AL/ML Engineer

Duration: 5+ Months Location: MN-Rochester, 100% Remote Overview: Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As an AL/ML Engineer, you will join Turnberry's Data Strategy and Intelligence practice and service. This service provides insights into company data, advanced analytics solutions, robust data governance, and tailored solutions for specific data challenges. Responsibilities Work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical Al/ML solutions into clinical practice to enhance patient care and operational efficiency Work on the full spectrum of the Al life cycle from ideation to production Understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients Leverage advanced techniques in Al/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop Al solutions that meet clinical needs and are integrated smoothly into clinical processes Develop, integrate, and standardize software components and create, maintain, and follow quality system procedures Work on the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings Facilitate consistent and automated Al software solution development and releases through the design, testing, and maintenance of tools and associated Cl/CD pipelines Work on component design, development, integration, and standardization to create Al-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations Collaborate 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 Al solutions Interpret/ analyze data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between Al technologies and clinical applications Leverage machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to design, develop, and deploy end-to-end Al solutions for healthcare applications Participate in the engineering of systems crucial for developing and deploying Al solutions Facilitate consistent and automated Al software solution development and releases through the design, testing, and maintenance of tools and associated Cl/CD pipelines Contribute to implementing the best practices and standards for Al development and deployment methodologies, tools, and platforms Provide training and education to healthcare staff on the use of Al tools and technologies Qualifications Education Master's degree in Engineering, Computer Science, Mathematics, Health Science, or a related field AND one (1) year experience (escalate for approval if Master's degree is not in any of the specified fields of study) OR Bachelor's degree with three (3) years of experience OR HS Diploma/GED with Seven (7) years of experience may be considered Experience applying Al and machine learning in production environments, 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 Al/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, Al Engineering, and the MLOps communities Strong interpersonal, communication, and time management skills Agentic engineering skills including: Python GCP Agent/model evaluation Observability/monitoring Agent frameworks (preferably Langgraph) Langfuse Experience Building AI Agents MCP RAG including Embedding/Vectorization, Hybrid Search and Rerankin Agentic Question Answering Experience with Healthcare data, Claude Code) Preferred Qualifications A Ph.D. in Engineering, Computer Science, Health Science, or a related Analytical/Quantitative field Expertise in Al/ML techniques and frameworks, such as deep learning, natural language processing, and Generative Al, 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 Al product development Ability to conduct expert reviews using established usability practices and methods Present 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 The salary range for this role is $130,000 to $185,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives. At Turnberry, we are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. Americans With Disabilities Act (ADA) Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at turnberryhr@turnberrysolutions.com.