Data Scientist

As a Data Scientist at AuxoAI, you will be responsible for designing, deploying, and scaling production-grade ML systems. Your role will involve working on large language model-based pipelines, AI copilots, and agentic workflows. You will have the opportunity to balance cutting-edge research with production rigor and mentor junior team members to build impact-first AI applications. Key Responsibilities: - Own the full ML lifecycle including model design, training, evaluation, and deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune large language models (LLMs) and implement retrieval-augmented generation (RAG) pipelines - Build agentic workflows for reasoning, planning, and decision-making - Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark - Collaborate with product and engineering teams to integrate AI models into business applications - Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices Qualifications: - 2+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX - Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines - Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration) - Solid understanding of MLOps including Docker, Kubernetes, Spark, model registries, and deployment workflows - Strong software engineering background with experience in testing, version control, and APIs - Proven ability to balance innovation with scalable deployment - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field - Bonus: Open-source contributions, GenAI research, or applied systems at scale Join AuxoAI and be a part of a dynamic team where you can contribute to innovative AI solutions and make a significant impact in the field.,