Flexible Spending Account – Health Care/Childcare
CalPERS retirement
457(b) option with a contribution match
Paid life insurance for employees
Pet care insurance
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
Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred
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.
Start your journey towards a thriving future with IEHP and apply TODAY!
