Note: The job is a remote job and is open to candidates in USA. Dice is a recruiting company, and they are seeking a Full Stack Engineer with expertise in Python and AI/ML. The role involves building scalable backend services and data pipelines in a healthcare environment, along with developing risk engines and collaborating with product and data teams.
Responsibilities
- Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience
- Build and maintain scalable backend services, APIs and batch/stream data pipelines in a healthcare data environment
- Develop and optimize calculation/risk engines that process large volumes of claims and clinical data
- Write well-tested, production-grade code and participate in code reviews, CI/CD and on-call rotation
- Partner with product and data teams to translate requirements into reliable, performant services
Skills
- Full Stack Engineer with Python, SQL, databricks/ snowflake, vue/ react, AWS, Kafka, automation/testing experience
- Strong production experience building services and data pipelines; relational database design and query optimization; deploying and operating workloads on AWS (e.g., ECS/EKS, Lambda, RDS, S3)
- Experience with large-scale data processing (Spark, Airflow, dbt or similar)
- Healthcare / claims / EHR data exposure
- Microservices, event-driven architecture, containerization (Docker/Kubernetes)
- Infrastructure-as-code (Terraform)
- 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)
- Claude code LLM / GenAI, RAG, prompt engineering, vector databases
- MLOps tooling (MLflow, Kubeflow, model registries)
- Healthcare data and clinical NLP experience
- MLE with python, databricks, AWS, sql, nlp
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