Rancho Cucamonga, CA30+ days ago
Key Qualifications: Familiarity with basic principles of distributed computing and/or distributed databases Knowledge of one or more business/functional areas Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required Familiarity with data governance, model interpretability, bias mitigation, and AI ethics Strong analysis and critical thinking skills Excellent communication and interpersonal skills Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL) Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues Ability to multi-task while maintaining careful attention to detail Ability to handle multiple projects, data input, and strong problem-solving capability Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering) Strong business acumen and ability to translate technical solutions into executive-level impact stories. Education & Requirement: Required: At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role Proven track record in leading AI/ML projects from conception to production Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas Exposure to multimodal AI (text, image, audio, video) applications Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads Bachelors Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution Masters Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred.