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1 day ago
As a skilled machine learning expert, you will play a key role in designing and developing cutting-edge GenAI-powered solutions tailored for the healthcare sector.
Our projects focus on information retrieval, Retrieval-Augmented Generation (RAG), process automation, and generating actionable insights.
By leveraging our expertise, healthcare organizations can significantly enhance operational efficiency and maximize revenue outcomes.
Key Responsibilities:- Designing and implementing machine learning algorithms, GenAI, and RAG-based solutions
- Conducting research, testing, and fine-tuning models to ensure optimal performance
- Collaborating with cross-functional teams to integrate AI-driven solutions seamlessly into healthcare workflows
- 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 a collaborative mindset
- 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)
- Experience in building scalable AI-driven applications for production environments
Prior experience in the healthcare sector is highly valued.
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