Data Scientist - Python/SQL

Title : Data Scientist

Experience : 2 to 4 years

Location : Bengaluru , Chennai , Pune

Must Have :

- 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.

Position Overview :

Tata Communications is looking for a Data Scientist to join our AI Center of Excellence (AI-CoE). This role demands a deep understanding of Machine Learning (ML), Natural Language Processing (NLP), Generative AI, and Retrieval-Augmented Generation (RAG). You will work on cutting-edge projects that transform business needs into AI-enabled solutions, contributing directly to product innovation and the development of monetizable differentiators for our products and services.

Key Responsibilities :

- Design, develop, test, and deploy ML models for diverse telecom and business use cases.

- Conduct data preprocessing, feature engineering, and model evaluation.

- Optimize ML/DL models for scalability and performance.

- Apply NLP techniques for tasks such as :

1. Named Entity Recognition (NER)

2. Text classification

3. Language modeling (e.g., GPT, LLaMA, Claude, Grok)

- Build and refine RAG-based models to improve information retrieval and response generation.

- Integrate RAG systems into existing applications to enhance user experience and data accessibility.

- Collaborate with cross-functional teams, including software engineers, product managers, and subject matter experts.

- Present complex technical findings to non-technical stakeholders clearly and effectively.

- Maintain detailed documentation of model development, processes, and best practices.

Required Skills :

- Strong foundation in Probability and Statistics.

- Hands-on experience with Machine Learning and Deep Learning techniques.

- Proficiency in :

1. Programming languages : Python, SQL

2. ML/DL frameworks : PyTorch, Scikit-learn, NumPy

3. GenAI libraries/tools : LangChain, LlamaIndex

- Knowledge of MLOps principles and working with Big Data in both batch and streaming contexts.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- Ability to manage multiple projects in a fast-paced environment.

- Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field from a reputed institute.

Preferred : 2 years of professional experience in data science or a related domain.