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AuxoAI

Sr Data Scientist - AI & ML

AuxoAI Bengaluru, Karnataka, India

Software Development · 201-500 employees

Sep 15
data-scientist Senior (5-10 yrs) Full-time India
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About the role

You will own the full machine learning lifecycle, including model design, training, deployment, and monitoring. Additionally, you will build agentic workflows and integrate AI models into business applications while mentoring junior team members.

What they look for

Machine Learning Generative AI LLM Python PyTorch TensorFlow JAX RAG Docker Kubernetes Spark MLOps Agentic Workflows Transformers Diffusion Models Vector Search

Requirements

Candidates must have 5+ years of experience in designing and scaling production ML/DL systems. Proficiency in Python, deep learning frameworks, and MLOps practices is required, along with a degree in Computer Science or a related field.

Full 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/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-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

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