Senior Data Scientist Expert ( Preferred Immediate Joiner)

Preferred candidate profile

Senior

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.

Role & responsibilities

Key Responsibilities:

• Design, develop, and deploy advanced machine learning and deep learning models for Telco use cases such as:
• Network optimization
• Customer churn prediction
• Usage pattern modelling
• Fraud detection
• 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 Vis data science capabilities.
• Provide technical mentorship to junior data scientists and data engineers.

Required Qualifications & Skills:

• 6 to 9 years

  of industry experience in Machine Learning, Deep Learning, 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 pre-processing 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 modelling

  , or

  customer behaviour modelling

  in a Telco environment.
• Experience mentoring teams or leading small AI/ML projects.