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Sr Data Scientist - AI & ML

AuxoAI
Posted 4 days ago, valid for 12 days
Location

Bengaluru, Bangalore Urban, Karnataka

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • AuxoAI is hiring a Senior Data Scientist with expertise in AI, machine learning engineering, and generative AI.
  • The role involves designing, deploying, and scaling production-grade ML systems, including LLM-based pipelines and AI workflows.
  • Candidates should have 5+ years of experience in ML/DL systems and proficiency in Python and deep learning frameworks.
  • The position offers a hybrid work model in locations such as Mumbai, Bangalore, Hyderabad, or Gurgaon.
  • Salary details are not specified, but the role emphasizes mentoring and the integration of AI models into business applications.
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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