Sr. Data Scientist

2 weeks ago

Bengaluru, Karnataka, India CGvak Software Exports Full time ₹ 12,00,000 - ₹ 36,00,000 per year


Role & Responsibilities

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.

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


Ideal Candidate
  • 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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