AI Engineer
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healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impact-touching everything from model training and deployment to safety evaluation and infrastructure.Key ResponsibilitiesDesign and implement NLP and ML systems for clinical and conversational applicationsBuild and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflowsCollaborate cross-functionally to translate clinical requirements into scalable technical solutionsEnsure safety, performance, and regulatory compliance of ML systemsContribute to technical strategy, architectural decisions, and mentoring within the ML teamWhat We're Looking For4+ years of hands-on experience in AI, ML, or NLP, ideally in a product settingStrong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methodsAdvanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFaceExperience building full ML pipelines from data ingestion to deploymentSolid software engineering practices including testing, version control, and CI/CDStrong communication and collaboration skills, especially with non-technical stakeholdersInterest in applying AI to healthcare or other high-impact domainsNice to HaveExperience in healthcare, clinical AI, or medical dataKnowledge of model safety, bias monitoring, or regulatory frameworksFamiliarity with multi-modal ML, retrieval-augmented systems, or knowledge graphsProduction experience with scalable ML systemsUnderstanding of privacy and security considerations in regulated environmentsWhy JoinCompetitive salary and equity optionsFlexible, hybrid or remote working optionsA mission-driven environment where your work directly improves patient careCollaboration with clinicians, product experts, and ML researchersOpportunities for professional growth, mentorship, and learning#J-18808-Ljbffr Similar jobs
Benefits & conditions
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