Data Scientist / AI Engineer

·        Job Description – AI/ML Engineer (Junior & Senior Roles) 1\.     Position Overview We are seeking highly motivated AI/ML Engineers (both Senior and Junior levels) to join our advanced AI team. In this role, you will work on designing, training, and deploying Large Language Models (LLMs) and cutting-edge retrieval-augmented generation (RAG) systems, leveraging both open-source and commercial foundation models. You will collaborate across teams to transform research into production-grade AI applications that solve real-world business and domain-specific challenges. This role is open to U.S. Citizens and Green Card holders (preferred). Key Responsibilities ·        Lead or contribute to end-to-end training and fine-tuning of LLMs, including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems. ·        Architect and implement GraphRAG pipelines, incorporating knowledge graph representation and retrieval for enhanced contextual grounding. ·        Design, train, and optimize semantic and dense vector embeddings for document understanding, search, and retrieval. ·        Develop semantic retrieval systems with advanced document segmentation and indexing strategies. ·        Build and scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training. ·        Apply reinforcement learning techniques (e.g., RLHF, RLAIF, PPO, DPO) to align model behavior with human preferences and business goals. ·        Collaborate with cross-functional teams to translate business requirements into AI-driven solutions and deploy them in production environments. Preferred Qualifications ·        Education: PhD or Master’s degree in Computer Science, Machine Learning, or related field. ·        Experience: ·        Senior Role: 8+ years in applied AI/ML with proven delivery of production-grade models. ·        Junior Role: 2–5 years of experience in AI/ML research, development, or engineering. ·        Deep expertise in one or more of the following: ·        LLM training & fine-tuning (GPT, LLaMA, Mistral, Qwen) ·        Graph-based retrieval systems (GraphRAG, knowledge graphs) ·        Embedding models (BGE, E5, SimCSE) ·        Semantic search & vector databases (FAISS, Weaviate, Milvus) ·        Document segmentation & preprocessing (OCR, layout parsing) ·        Distributed training frameworks (NCCL, Horovod, DeepSpeed) ·        High-performance networking (InfiniBand, RDMA) ·        Model fusion & ensemble techniques (stacking, boosting, gating) ·        Optimization algorithms (Bayesian, Particle Swarm, Genetic Algorithms) ·        Symbolic AI and rule-based systems ·        Meta-learning & Mixture of Experts (MoE) architectures ·        Reinforcement learning methods (RLHF, PPO, DPO, RLAIF) Bonus Skills ·        Experience with healthcare data and medical coding systems (CPT, CM, PCS). ·        Familiarity with regulatory and compliance frameworks in AI deployment. ·        Contributions to open-source AI projects or published research. ·        Ability to take research papers from PoC → production. Why Join Us? ·        Work on state-of-the-art AI/ML systems with real-world impact. ·        Collaborate with a team of leading AI researchers and engineers. ·        Opportunity for career growth, with clear paths for both junior and senior engineers. ·        Competitive compensation and benefits package.