Senior Data Scientist GenAI / ML | Telecom

Domain: Telecom Mandatory Experience: 69 Years GenAI Experience: 34 Years Working Hours: IST General Shift Contract: 612 Months, Extendable Employment Type: C2C Contract Budget: Up to 1.2 LPM Joining: Immediate Interview: 3 Virtual Rounds Role Overview We are looking for a Senior Data Scientist with strong hands-on expertise in Generative AI, Machine Learning, Deep Learning and Advanced Analytics, along with proven Telecom domain experience. The role involves developing and deploying end-to-end AI/ML solutions for use cases such as customer analytics, network intelligence, churn prediction, fraud detection and GenAI applications. Key Responsibilities Design, develop and deploy ML/DL models for telecom use cases.Build GenAI solutions using LLMs, Transformers, RAG, OpenAI, Hugging Face and LangChain.Perform EDA, feature engineering, model selection, training and evaluation.Manage the complete ML lifecycle from data preparation through production deployment and monitoring.Implement MLOps, CI/CD, model monitoring and production optimization.Optimize models for performance and latency.Collaborate with network, marketing, IT and business teams on AI/ML initiatives.Evaluate and integrate emerging AI/ML tools and frameworks.Mentor junior Data Scientists/Data Engineers where required. Mandatory Skills 69 years of Data Science / ML / DL experience.34 years hands-on GenAI / LLM experience.Telecom domain experience Mandatory.Hands-on GPT/BERT/Llama, Transformers, RAG and LangChain.Strong Python.Experience with scikit-learn, TensorFlow, PyTorch and/or Hugging Face.Strong ML/DL fundamentals, including CNNs and Advanced Analytics.End-to-end ML lifecycle and MLOps experience.Production deployment using technologies such as Docker, Kubernetes, MLflow and FastAPI.Experience with AWS, Azure or GCP.Strong SQL and exposure to Spark/Hive and data pipelines. Good to Have Vector databases and embeddings.Advanced RAG architectures.Kafka/Flink or real-time ML inference.Telecom network analytics, geo-spatial modelling or customer behaviour modelling.AI/ML project leadership or mentoring experience. Candidate Requirements Immediate joiner.Willing to work WFO from Pune.Comfortable with IST general shift.Relevant Telecom experience is mandatory.Comfortable with 3 virtual interview rounds. Important: Candidates must have 34 years of hands-on GenAI experience + Telecom domain experience. Generic Data Science profiles with limited/recent GenAI exposure should not be considered. .