About us: Intuitive is an innovation-led engineering company delivering business outcomes for 100’s of Enterprises globally. With the reputation of being a Tiger Team & a Trusted Partner of enterprise technology leaders, we help solve the most complex Digital Transformation challenges across following Intuitive Superpowers: Modernization & Migration • Application & Database Modernization • Platform Engineering (IaC/EaC, DevSecOps & SRE) • Cloud Native Engineering, Migration to Cloud, VMware Exit • FinOps Data & AI/ML • Data (Cloud Native / DataBricks / Snowflake) • Machine Learning, AI/GenAI Cybersecurity • Infrastructure Security • Application Security • Data Security • AI/Model Security SDx & Digital Workspace (M365, G-suite) • SDDC, SD-WAN, SDN, NetSec, Wireless/Mobility • Email, Collaboration, Directory Services, Shared Files Services Intuitive Services: • Professional and Advisory Services • Elastic Engineering Services • Managed Services • Talent Acquisition & Platform Resell Services About the job: Title: ML Engineer for Healthcare solutions Start Date: Immediate Position Type: Contract/ Full-time Employment Location: San Francisco, CA Job Description: We are seeking a highly skilled and passionate AI/ML Engineer to join our team in building advanced machine learning solutions in the healthcare domain. This role focuses on the development of cutting-edge AI/ML algorithms applied to medical imaging modalities such as X-rays, CT scans, ultrasounds, as well as Electronic Medical Records (EMR) and Clinical Decision Support Systems (CDSS). The ideal candidate will have hands-on experience in designing, implementing, and deploying AI/ML models for healthcare applications, with a strong focus on diagnostic support and patient outcome improvement. Key Responsibilities: • Design and develop AI/ML models for analyzing medical images (X-rays, CT, Ultrasound) to support diagnostic workflows. • Integrate and analyze structured and unstructured data from EMRs to enhance clinical decision-making. • Develop and optimize Clinical Decision Support Systems (CDSS) using predictive modeling and natural language processing (NLP). • Collaborate with cross-functional teams including radiologists, clinicians, data scientists, and software engineers. • Evaluate model performance using appropriate metrics and ensure models meet regulatory and ethical standards for healthcare applications. • Translate research into production-ready algorithms with a focus on scalability and real-world usability. • Stay current with advancements in AI/ML in healthcare, including FDA/CE regulations and data privacy standards (HIPAA, GDPR, etc.). Required Qualifications: • M.S. or Ph.D. in Computer Science, Biomedical Engineering, Data Science, or a related field. • Proven experience in developing and deploying machine learning models on medical imaging data (e.g., CNNs, transformers for vision). • Strong understanding of healthcare data (DICOM, HL7, FHIR, EMR systems). • Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. • Knowledge of NLP techniques for clinical text mining and EMR processing. • Familiarity with regulatory and ethical guidelines in medical AI applications. • Excellent problem-solving and communication skills. Preferred Qualifications: • Publications or patents in medical AI/ML. • Experience with cloud platforms (AWS, GCP, Azure) and MLOps pipelines. • Background in working with FDA-cleared AI tools or clinical trials.