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