Data Scientist

Bounteous; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bounteous is seeking a Senior Data Scientist (4-9 years) with deep expertise in Generative AI, machine learning, deep learning and advanced data analytics to build, deploy and maintain end-to-end ML solutions at scale. Telecom domain experience is a strong plus, with hands-on experience across GenAI models, Python, ML pipelines, and cloud deployment tools.

Proficiency in Python and libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers) is required, along with MLOps practices,

Qualifications

• Strong hands-on experience with GenAI models and frameworks.

Skills

GenAI models

Python

scikit-learn

TensorFlow

PyTorch

Hugging Face

LangChain

RAG pipelines

MLOps

Cloud platforms

AWS

GCP

Azure

Docker

Kubernetes

MLflow

FastAPI

SQL

Spark

Hive

Data pipelines

Telecom data

Problem solving

Tools

Python libraries like scikit-learn

Hugging Face Transformers

Job description

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