Senior Data Scientist

As a Senior Data Scientist/Manager specializing in Generative AI, you will:

• Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.
• Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.
• Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).
• Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
• Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
• Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.

Key Responsibilities

• Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.
• Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation.
• Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights.
• Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production.
• Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.

EXPERIENCE

• BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field. Advanced degrees preferred.
• Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)
• Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.
• Experience with frameworks like like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.
• Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision model)
• Experience working with any Vector database like Milvus, FAISS, ChromaDB etc
• Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc
• Experience with prompt engineering
• Keeping up with latest market trends
• Experience working with open source large language models from HuggingFace
• Experience working with atleast one public cloud provider such as Azure, AWS or GCP
• Experience working with container technology like Docker, ECS etc
• Experience with DevOps practices and CI/CD pipelines for data solutions
• Experience in deploying solutions to production with Kubernetes or OpenShift
• Experience with managing ML workflows with MLFlow or KubeFlow