
Chief Machine Learning Architect
3 days ago
Job Description:
","- Design and develop machine learning algorithms, GenAI, and RAG-based solutions
- Conduct research and testing, fine-tune models, and collaborate with teams to ensure seamless integration into healthcare workflows
Qualifications and Skills:
","- Strong foundation in pattern recognition and neural networks
- Solid background in computer science and algorithms
- Experience with generative AI, large language models (LLMs), and RAG systems
- Bachelor's or master's degree in computer science, AI/ML, or a related field
- Proficiency with AI/ML frameworks and tools
- Excellent problem-solving skills and collaborative mindset
Benefits:
","- Hands-on experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus)
- Knowledge of prompt engineering and fine-tuning LLMs
- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Strong software engineering practices including version control, CI/CD, and API development
- Understanding of data pipelines, ETL, and healthcare data standards (HL7, FHIR)
Additional Information:
","- Build scalable AI-driven applications for production environments
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