Job Description:
We are looking for a highly skilled Senior Data
Scientist with 2–7 years of experience specializing
in Python, Large Language Models (LLMs), Agentic AI , NLP, Machine Learning, and
Generative AI. The ideal candidate will have a deep understanding of building
intelligent systems using modern AI frameworks and deploying them into
scalable, production-grade environments. You will work closely with
cross-functional teams to build innovative AI solutions that deliver real
business value.
Responsibilities:
- Design,
develop, and deploy ML/NLP solutions using Python and state-of-the-art AI
frameworks.
- Apply
LLMs and Generative AI & Agentic AI techniques to solve real-world problems.
- Build,
train, fine-tune, and evaluate models for NLP and GenAI tasks.
- Collaborate
with data engineers, MLOps, and product teams to operationalize models.
- Contribute
to the development of scalable AI services and applications.
- Analyze
large datasets to extract insights and support model development.
- Maintain clean, modular, and version-controlled
code using Git.
Requirements
Requirements
Must-Have Skills:
- 2–7years of hands-on experience with Python for data science and ML
applications.
- Strong
expertise in Machine Learning algorithms and model development.
- Proficient
in Natural Language Processing (NLP) and text analytics.
- Experience
with Large Language Models (LLMs) and Generative AI frameworks
(e.g., LangChain, Hugging Face Transformers).
- Familiarity
with model deployment and real-world application integration.
- Experience
with version control systems like Git.
Good to Have:
- Experience
with PySpark for distributed data processing.
- Exposure
to MLOps practices and model lifecycle management.
- Familiarity
with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of vector databases.