Key skills
PythonSQLAWS SageMakerAWS BedrockAWS LambdaAWS S3PyTorchTensorFlowscikit-learnLLMGenerative AIRetrieval-Augmented GenerationPrompt EngineeringVector DatabasesMLflowKubeflowModel RegistriesHealthcare DataClinical Natural Language ProcessingAIMLNLPGenAIRAGMLOpsAWSLambdaS3SageMakerBedrock
About this role
Dice is a company focused on leveraging technology in the healthcare sector, and they are seeking a Healthcare AI/ML Engineer to develop, deploy, and operationalize machine-learning solutions. The role involves building and integrating AI capabilities to improve clinical and operational decision-making.
Responsibilities:
- Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production
- Develop ML pipelines, feature stores and serving infrastructure; monitor model performance and drift
- Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows
- Translate ambiguous business problems into well-scoped, measurable AI solutions
Requirements:
- 9 years of resume required
- Develop, deploy and operationalize machine-learning and applied-AI solutions
- Build, train, evaluate and deploy ML models and LLM/GenAI-based solutions into production
- Develop ML pipelines, feature stores and serving infrastructure
- Monitor model performance and drift
- Collaborate with product and engineering to integrate AI capabilities into customer-facing workflows
- Translate ambiguous business problems into well-scoped, measurable AI solutions
- Python
- SQL
- AWS
- Hands-on ML engineering in Python (PyTorch/TensorFlow/scikit-learn)
- SQL for feature and data work
- Deploying ML workloads on AWS (SageMaker, Bedrock, Lambda, S3)
- LLM / GenAI, RAG, prompt engineering, vector databases
- MLOps tooling (MLflow, Kubeflow, model registries)
- Healthcare data and clinical NLP experience