Senior Data Scientist - AI/ML

AuxoAI is 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/Bengaluru/Hyderabad/ Gurgaon (Hybrid) ​

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-art architectures: 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., ReAct agents, 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, GenAI research, or applied systems at scale