Data Scientist

5 days ago

Madhapur Hyderabad Telangana, India DataEconomy Full time US$ 1,20,000 - US$ 2,00,000 per year
Job Information

Date Opened

08/11/2025

Job Type

Full time

Industry

IT Services

City

Madhapur

State/Province

Telangana

Country

India

Zip/Postal Code

500081

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

Job Description

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.
Benefits

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