Sr Data Scientist - AI & ML

AuxoAI Engineering; Bengaluru Urban; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

AuxoAI Engineering is seeking a Senior Data Scientist to lead the design, deployment, and scaling of production-grade ML systems, including LLM-based pipelines and agentic workflows. You will mentor teammates and drive impact-first AI applications across hybrid environments in India.

The role emphasizes balancing cutting-edge research with production rigor, hands-on model development, and collaboration with product teams to integrate AI into business solutions.

Qualifications

• 5+ years of experience designing, deploying, and scaling ML/DL systems in production.
• Proficient in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search, and RAG pipelines.
• Familiarity with agent-based development (ReAct agents, function-calling, orchestration).
• Strong MLOps understanding: Docker, Kubernetes, Spark, model registries, and deployment workflows.
• Solid software engineering background with testing, version control, and APIs.

Responsibilities

• Own the end-to-end ML lifecycle from design to deployment and scaling in production.
• 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 real-time and batch inference systems using Docker, Kubernetes, and Spark.
• Leverage transformers, diffusion models, RLHF, and multimodal pipelines.
• Collaborate with product and engineering teams to deploy AI models in business apps.
• Mentor juniors and promote MLOps, scalable architecture, and responsible AI.

Skills

ML lifecycle

Python

PyTorch

TensorFlow

JAX

LLM fine-tuning

LoRA/QLoRA

vector search

RAG pipelines

ReAct agents

MLOps

Docker

Kubernetes

Spark

APIs

Software engineering

Education

Bachelor/Master/PhD in CS/Data Science or related field

Tools

Docker

Kubernetes

Spark

Weaviate

PGVector

Job description

Bangalore South, India | Posted on 09/15/2026

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