Senior AI Scientist

As a Senior AI Scientist at Soothsayer Analytics, you will play a crucial role in leading the development of scalable AI/LLM solutions. Your expertise in ML fundamentals and data engineering will be instrumental in designing, fine-tuning, and deploying models such as LLMs and RAG architectures. Your responsibilities will include: - AI/LLM Development: - Fine-tune and optimize LLMs (e.g., GPT, Llama) and traditional ML models for production. - Implement retrieval-augmented generation (RAG), vector databases, and orchestration tools (e.g., LangChain). - Data Engineering: - Build scalable data pipelines for unstructured/text data using tools like Spark, Kafka, and Airflow. - Optimize storage/retrieval for embeddings with technologies like pgvector and Pinecone. - MLOps & Deployment: - Containerize models using Docker and deploy them on cloud platforms such as AWS, Azure, and GCP using Kubernetes. - Design CI/CD pipelines for LLM workflows including experiment tracking and monitoring. - Collaboration: - Collaborate with DevOps to optimize latency/cost trade-offs for LLM APIs. - Mentor junior team members on ML engineering best practices. To be successful in this role, you should have: - Education: MS/PhD in CS/AI/Data Science or equivalent experience. - Experience: 6+ years in ML and data engineering, with at least 2 years working on LLM/GenAI projects. Join Soothsayer Analytics and be part of high-impact, cross-industry projects where your contributions will shape the future of data-driven decision-making.,