Lead Data Scientist / AI ML

Bounteous; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Bounteous in Hyderabad seeks a seasoned ML/AI professional with 5 to 7 years of experience to design, build, deploy, and maintain end‑to‑end ML solutions at scale, preferably in telecom. You will work on Generative AI, Machine Learning, and advanced data analytics to drive business outcomes.

Strong Python skills and libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers), GenAI models & frameworks, ML lifecycle management, cloud platforms (AWS/GCP/Azure) and deployment tools

Qualifications

• 5–7 years of hands‑on experience in ML/AI and data analytics.
• Strong Python development and ML framework proficiency.
• Experience building end‑to‑end ML solutions at scale in Telecom domain is a plus.
• Comfort with cloud platforms (AWS/GCP/Azure) and deployment tooling.

Responsibilities

• Design, build, deploy, and maintain end‑to‑end ML solutions.
• Work with GenAI models and related frameworks to drive business outcomes.
• Handle data preprocessing, model training, deployment, and monitoring.
• Collaborate across teams to integrate ML into production systems.

Skills

Generative AI

Machine Learning

Deep Learning

Data Analytics

Python

GenAI models & frameworks

ML deployment tools

Tools

Docker

Kubernetes

MLflow

FastAPI

Job description

5 to 7 years of experience
Skills: Generative AI, Machine Learning, Deep Learning, advanced Data Analytics

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 withGenAI models and frameworks(e.g., GPT, BERT, Llama, LangChain, RAG pipelines).
• Proficiency inPython, and libraries such asscikit-learn, TensorFlow, PyTorch, Hugging Face Transformers, etc.
• Experience inend‑to‑end model lifecycle management, fromdatapreprocessing to production deployment (MLOps).
• Familiarity withcloud platformslike AWS, GCP, or Azure; andML deployment tools(Docker, Kubernetes, MLflow, FastAPI, etc.).
• Strong understanding ofSQL, bigdatatools (Spark, Hive), anddatapipelines.
• 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

Ready to work from office for all 5 days

I’ve worked at several sized consultancies in my career. To me, Bounteous feels like the perfect mix. It has the influence, reach and opportunity that I feel encompasses a large enterprise. Yet, it’s open, adaptive and individual‑focused, that of which I often resonate with a smaller boutique.

Senior Account Manager