Senior Data Scientist

As a Senior Data Scientist at AuxoAI, you will be responsible for owning the full ML lifecycle, designing production-ready ML pipelines, fine-tuning large language models (LLMs), building agentic workflows, and developing both real-time and batch inference systems. Your role will involve collaborating with product and engineering teams to integrate AI models into business applications, mentoring junior team members, and promoting MLOps and responsible AI best practices. 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 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 - Leverage state-of-the-art architectures such as transformers, diffusion models, RLHF, and multimodal pipelines - 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 Required: - 5+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficiency 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 - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field Please note that the job location is Mumbai/Bangalore/Hyderabad/Gurgaon with a hybrid work model of 3 days a week in the office. This role is ideal for someone who enjoys balancing cutting-edge research with production rigor and has a passion for mentoring while building impact-first AI applications. As a Senior Data Scientist at AuxoAI, you will be responsible for owning the full ML lifecycle, designing production-ready ML pipelines, fine-tuning large language models (LLMs), building agentic workflows, and developing both real-time and batch inference systems. Your role will involve collaborating with product and engineering teams to integrate AI models into business applications, mentoring junior team members, and promoting MLOps and responsible AI best practices. 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 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 - Leverage state-of-the-art architectures such as transformers, diffusion models, RLHF, and multimodal pipelines - 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 Required: - 5+ years of experience in designing, deploying, and scaling ML/DL systems in production - Proficiency 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 - B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field Please note that the job location is Mumbai/Bangalore/Hyderabad/Gurgaon with a hybrid work model of 3 days a week in the office. This role is ideal for someone who enjoys balancing cutting-edge research with production rigor and has a passion for mentoring while building impact-first AI applications.