Job Description

Develop, Test, and Deploy machine learning models for various business and Telco use cases. Perform data preprocessing, feature engineering and ML/DL model evaluation. Optimize and fine-tune models for performance and scalability. Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT/Llama/Claude/Grok Build and refine RAG models to improve information retrieval and answer generation systems. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Communicate technical concepts to non-technical stakeholders effectively. Document processes, methodologies, and model development for internal and external stakeholders.
Relevant 2 years of relevant hands-on experience in Data Scientist.

Hands-on experience in developing and deploying ML models using Python, PyTorch, and Scikit-learn.

Practical knowledge of NLP tasks like entity recognition and text classification, and working with GenAI models such as GPT or LLaMA.

Experience with tools like LangChain or LlamaIndex for building and optimizing RAG (Retrieval-Augmented Generation) pipelines.

Understanding of MLOps practices and ability to handle big data in both batch and streaming modes.

Excellent communication skills with a Bachelor's or Master's degree in a relevant technical field.

Should join within 15 days (Notice Period).

Skills:

Strong knowledge of probability and statistics. Working knowledge of machine learning and deep learning skills. Strong knowledge of programming knowledge - Python, SQL and commonly used frameworks & tools - PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Excellent problem-solving skills and a proactive attitude. Strong communication and teamwork abilities. Ability to manage multiple projects and meet deadlines
Job Type: Full-time

Pay: ?700,000.00 - ?900,000.00 per year

Application Question(s):

Do you have at least 2 years of hands-on experience as a Data Scientist? Have you worked with GenAI models such as GPT or LLaMA? Do you have experience building and optimizing RAG (Retrieval-Augmented Generation) pipelines? Can you join within 15 days if selected? What is your level of proficiency with Python for ML model development?
No experience
Beginner (less than 1 year)
Intermediate (1-2 years)
Advanced (3+ years)

Which of the following tools have you used for building RAG pipelines?
LangChain
LlamaIndex
Both LangChain and LlamaIndex Neither
Both LangChain and LlamaIndex Neither

What is your highest level of education in a relevant technical field? Which location are you ready to work with Bangalore, Chennai, Pune?
Work Location: In person