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Data Scientist

Posted on Aug. 11, 2025

  • Ts, India
  • 0 - 0 USD (yearly)
  • Full Time

Data Scientist

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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

Standard Company Benefits


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