Senior Data Scientist - AI & ML

AuxoAI Inc.; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

A pioneering AI company in Bengaluru is seeking a Senior Data Scientist to drive the design, deployment, and scaling of cutting-edge ML systems. Ideal candidates will have over 5 years of experience, strong expertise in AI and ML, and familiarity with both advanced models and MLOps practices. Responsibilities include mentoring junior engineers and delivering impactful AI applications. This role requires proficiency in Python and frameworks like PyTorch and TensorFlow, alongside a solid educational background in Data Science or related fields.

Qualifications

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production.
• Proficient in Python and deep learning frameworks.
• Experience with LLM fine-tuning, vector search, and RAG pipelines.

Responsibilities

• Own the full ML lifecycle: model design, training, evaluation, deployment.
• Design production-ready ML pipelines with CI/CD, testing, and monitoring.
• Mentor junior team members and promote MLOps and responsible AI best practices.

Skills

Python

Deep learning frameworks (PyTorch, TensorFlow, JAX)

MLOps

Model design and evaluation

LLM fine-tuning

Education

B.S./M.S./Ph.D. in Computer Science, Data Science, or related field

Tools

Docker

Kubernetes

Spark

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Senior Data Scientist - AI & ML

Bangalore urban, India | Posted on 04/13/2026

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.

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