Senior Data Scientist - AI & ML

AuxoAIis hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems - including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Location - Mumbai/Bangalore/Hyderabad/Gurgaon (Hybrid - 3 Days a week in Office)

Responsibilities :

• Own the full ML lifecycle: model design, training, evaluation, 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-artarchitectures: 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

Requirements

• 5+ 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., ReActagents, function-calling, orchestration)

• Solid understanding of MLOps: 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, GenAIresearch, or applied systems at scale