Senior Data Scientist

Role : Senior Data Scientist
Experience : 6-9 years
Location WFO-Pune
TimeZone IST
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 client'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.
· 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.

Work arrangement
No