Job Description:
- Minimum experience should be 4+ years in Machine Learning Engineering.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in building applications leveraging generative AI technologies which includes LLM's, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Strong knowledge of data structures, algorithms, and software engineering best practices.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
- Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.
Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
