Note: The job is a remote job and is open to candidates in USA. Turnberry Solutions is hiring an AL/ML Engineer for its Data Strategy and Intelligence practice. The role develops and deploys AI/ML solutions across the healthcare lifecycle, integrating them into clinical workflows to improve patient care and operational efficiency. It also supports reliable, compliant AI systems and collaborates with clinical, product, design, and IT teams.
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
Skills
- Master's degree in Engineering, Computer Science, Mathematics, Health Science, or a related field AND one (1) year experience
- Bachelor's degree with three (3) years of experience
- 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)
- 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
Benefits
- Comprehensive healthcare package (medical, dental, vision), subject to eligibility requirements
- Disability and group term life insurance, subject to eligibility requirements
- Health and flexible spending accounts, subject to eligibility requirements
- Utilization bonus, subject to eligibility requirements
- 401(k) with match, subject to eligibility requirements
- Flexible time off for salaried employees, subject to eligibility requirements
- Parental leave for salaried employees, subject to eligibility requirements
- Flexible work arrangements, subject to eligibility requirements
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