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Photon

Data Analyst (3-5 YRS)-BLR

Photon India

IT Services and IT Consulting · 5,001-10,000 employees

Sep 03
data-analyst Mid (2-5 yrs) Full-time India
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About the role

Develop and deploy AI/ML solutions including supervised and unsupervised algorithms, deep learning models, and NLP applications. Partner with business stakeholders to identify needs and present technical research findings effectively.

What they look for

Python SQL Machine Learning Deep Learning NLP LLMs Prompt Engineering RAG Applications Vector Databases Transformer Architectures Agentic AI LangChain AutoGen AWS Azure PyTorch

Requirements

Requires a Master's degree in a technical field and 3+ years of experience as a data scientist. Proficiency in Python, SQL, cloud platforms, and modern AI frameworks is essential.

Full description

Location: BLR Experience: 3-5 Years

The Expertise and Skills You Bring

  • Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
  • 3+ years of prior work experience as a data scientist
  • Hands on experience in most of the following: AI/ML Projects, Developing Supervised and Unsupervised Machine Learning Algorithms, Deep Learning Models & Techniques, NLP, LLMs
  • Experience in working with finetuning Large Language Models (LLMs), Prompt Engineering, RAG Applications, Vector Databases, Transformer Architectures will be an added advantage.
  • Familiarity with agentic AI concepts (autonomous planning, reasoning, and multi-step actions) and tools like LangChain, AutoGen, or similar orchestration frameworks. Ability to test and deploy AI agents to automate routine tasks
  • Programming skills in Python, SQL, and hands on experience on using cloud technology platforms like AWS or Azure.
  • Exposure to AI-centric tools like PyTorch, Langchain, Langgraph is desirable
  • Ability to partner closely with a diverse set of business stakeholders to identify needs and deliver AI/ML solutions.
  • Demonstrated expertise in synthesizing and presenting research and technical findings to diverse audiences, with a strong ability to quickly acquire new knowledge and a passion for continuous learning.

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