Principal Data Scientist
Job Description
Key Deliverables
- Lead R&D initiatives in generative AI and novel model development.
- Collaborate with engineering and product teams to embed AI into products.
- Publish impactful research and drive academic engagement.
- Mentor research staff and cultivate a strong innovation culture.
Role Responsibilities
- Architect and implement next-gen generative models (LLMs, diffusion, etc).
- Stay ahead of AI advancements and propose innovation opportunities.
- Translate cutting-edge research into scalable applications.
- Drive efficiency in LLM operations and model inference at scale.
More Info
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Key Skills
About Company
Skills:
data engineering , Machine Learning, Docker, Data Architecture, Python, AWS, Sql, Deep Learning, MLops, Gcp, Rest Apis, Azure, Kubernetes, Pinecone, CI CD, LangGraph, Vector Databases, Chroma, LangChain, CrewAI, Generative AI, AI Security, LLMs, LLMOps, RAG AI Agents, Governance, Milvus, Weaviate, LlamaIndex
Skills:
Sql, Python
Skills:
model development , Data Science, Machine Learning Algorithms, Python, Bfsi, Banking And Finance, Fintech
Skills:
Machine Learning, Data Modeling, Sql Queries, Statistical Analysis, Python Programming
Skills:
AWS, Machine Learning, Pyspark, Unsupervised Learning, Deep Learning, Gcp, Azure, Python, Generative AI, model training, supervised learning, Deployment, hyperparameter tuning