Senior Data Scientist - AI & ML

Job Description

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