Job Description
We're committed to bringing passion and customer focus to the business.
Key Responsibilities:
- Design and implement ML models including regression, classification, clustering, and optimization algorithms.
- Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation.
- Collaborate with cross-functional teams to identify opportunities for AI integration into business processes.
- Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex).
- Fine-tune and optimize models for performance, scalability, and accuracy.
- Develop and maintain robust data pipelines and workflows.
- Stay updated with the latest advancements in AI, ML, and NLP.
Required Skills:
- Strong programming skills in Python.
- Solid understanding of traditional ML models and statistical techniques.
- Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases.
- Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace).
- Familiarity with prompt engineering and LLM fine-tuning.
- Exposure to cloud platforms (Azure preferred).
Preferred Qualifications:
- Masters degree in Computer Science, Data Science, Engineering, or related field.
- Experience in the life sciences or healthcare domain is a plus.
- Strong communication and stakeholder management skills.
- Ability to work in a fast-paced, collaborative environment.
No Referrers Available
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