Senior Data Scientist

Role Overview: We are seeking a highly skilled and motivated Senior Data Scientist 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. You will be part of our AI & Data Science team, working on high-impact projects ranging from customer analytics, network intelligence, churn prediction, to generative AI applications in telco automation and customer experience. Key Responsibilities:  Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as: o Network optimization o Customer churn prediction o Usage pattern modeling o Fraud detection o GenAI applications (e.g., personalized recommendations, customer service automation)  Lead the design and implementation of Generative AI solutions (LLMs, transformers, text-to-text/image models) using tools like OpenAI, Hugging Face, LangChain, etc.  Collaborate with cross-functional teams including network, marketing, IT, and business to define AI-driven solutions.  Perform exploratory data analysis, feature engineering, model selection, and evaluation using real-world telecom datasets (structured and unstructured).  Drive end-to-end ML solution deployment into production (CI/CD pipelines, model monitoring, scalability).  Optimize model performance and latency in production, especially for real- time and edge applications.  Evaluate and integrate new tools, platforms, and AI frameworks to advance Vi’s data science capabilities.  Provide technical mentorship to junior data scientists and data engineers. Required Qualifications & Skills:  6–9 years of industry experience in Machine Learning, Deep Learning,CNN’S, and Advanced Analytics.  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. C2 – Vodafone Idea Internal  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. Preferred Skills:  Experience with vector databases, embeddings, and retrieval-augmented generation (RAG) pipelines.  Exposure to real-time ML inference and streaming data platforms (Kafka, Flink).  Knowledge of network analytics, geo-spatial modeling, or customer behavior modeling in a Telco environment.  Experience mentoring teams or leading small AI/ML projects.