Data Scientist

Senior Data Scientist (4 9 Yrs) with deep expertise in Generative AI, Machine Learning, Deep Learning, and advanced Data Analytics. The ideal candidate will have hands-on experience in building, deploying, and maintaining end-to-end ML solutions at scale, preferably within the Telecom domain.

• Strong hands-on experience with GenAI models and frameworks (e.g., GPT, BERT, Llama, LangChain, RAG pipelines).
• Proficiency in Python, and libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Experience in end-to-end model lifecycle management, from data preprocessing to production deployment (MLOps).
• Familiarity with cloud platforms like AWS, GCP, or Azure; and ML deployment tools (Docker, Kubernetes, MLflow, FastAPI, etc.).
• Strong understanding of SQL, big data tools (Spark, Hive), and data pipelines.
• Excellent problem-solving skills with a strong analytical mindset and business acumen.

Prior experience working on Telecom datasets or use cases is a strong plus