Note: The job is a remote job and is open to candidates in USA. The hiring client is confidential; Talent Software Services is recruiting an AI/ML Engineer to build, evaluate, and deploy agentic workflows that accelerate clinical trial activation. The role develops healthcare AI solutions and supporting software systems, including automated development and release pipelines.
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
- Experience applying AI 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 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
- 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 Reranking, Agentic Question Answering, Experience with Healthcare data, Claude Code
- A Ph.D. in engineering, computer science, health science, or a related analytical/quantitative field 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
- Remote work
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