AI/ML Engineer

About Us:Astiva Health, Inc., located in Orange, CA is a premier health plan provider specializing in Medicare and HMO services. With a focus on delivering comprehensive care tailored to the needs of our diverse community, we prioritize accessibility, affordability, and quality in all aspects of our services. Join us in our mission to transform healthcare delivery and make a meaningful difference in the lives of our members.SUMMARY:We are seeking a skilled and adaptable AI/ML Engineer to join our fast-moving team building impactful AI solutions in healthcare. Our work focuses on extracting and interpreting data from unstructured medical documents, improving clinical coding accuracy, streamlining administrative processes, and enhancing patient outreach.Projects will evolve rapidly, from fine-tuning large language models (LLMs) on specialized medical PDFs, to optimizing OCR pipelines in Azure, and new challenges emerge regularly. This role suits someone who thrives in ambiguity, enjoys hands-on model development, and wants to directly influence healthcare delivery through applied AI/ML.ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:Design, fine-tune, and optimize large language models (LLMs) and multimodal models for healthcare-specific NLP tasks, such as information extraction, classification, and summarization from clinical documents (e.g., medical charts, patient files, scanned forms).Develop and improve document understanding pipelines, including fine-tuning OCR / layout-aware models (especially in cloud environments like Azure AI, Azure Foundry) to handle real-world variability in medical forms, handwriting, and scanned PDFs.Build and iterate on end-to-end ML solutions that transform unstructured healthcare data into structured, actionable insightsCollaborate closely with clinicians, product managers, data annotators, and engineers to define problems, curate/annotate datasets, evaluate model performance against clinical and business metrics, and iterate quickly.Deploy models into production environments (cloud-based inference, batch processing, or API endpoints) with attention to latency, cost, scalability, and healthcare compliance considerations (HIPAA, data privacy).Stay current with advancements in LLMs, vision-language models, efficient fine-tuning techniques (LoRA/QLoRA, PEFT), RAG, multimodal AI, and domain-specific healthcare AI research.Contribute to a culture of rapid prototyping, rigorous evaluation, and continuous improvement in a dynamic project landscape where priorities can shift based on new opportunities or stakeholder needs.Other duties as assignedREQUIRED TECHNICAL SKILLS:Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent)Hands-on experience with NLP applied to unstructured textExperience working with LLMs, including:Prompting strategiesFine-tuning for classification or extraction tasksModel evaluation and error analysisExperience designing or consuming annotation pipelines and labeled datasetsFamiliarity with structured prediction problems (multi-label classification, ranking, or probabilistic inference)Ability to reason about and mitigate model bias, label noise, and false positivesStrong understanding of production ML systems (versioning, monitoring, iteration)Experience working with sensitive or regulated data (e.g., HIPAA-covered healthcare data), including privacy-aware data handling and secure ML workflowsOTHER SKILLS and ABILITIES:Hands-on experience with Azure AI services, Azure Machine Learning, OpenAI on Azure, and Microsoft FoundryExperience with clinical NLP libraries (scispaCy, medspaCy, cTAKES)Familiarity with RAG architectures for grounding model decisionsExperience with weak supervision or noisy-label learningKnowledge of temporal reasoning or longitudinal modelingExposure to knowledge graphs or ontology-driven systemsFamiliarity with healthcare vocabularies and ontologies:ICD-10SNOMED CTRxNorm (or similar)Understanding of clinical documentation structure (HPI, Assessment & Plan, medications, etc.)EXPERIENCE:Bachelor's Degree in related field2-4+ years of experience in software engineering, machine learning, or applied NLPDemonstrated experience taking ML systems from prototype to productionExperience collaborating with non-technical domain experts (e.g., medical coders, clinicians)BENEFITS:401(k)Dental InsuranceHealth InsuranceLife InsuranceVision InsurancePaid Time OffFree catered lunches