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:
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Design, develop, and deploy ML/NLP solutions using Python and state-of-the-art AI frameworks.
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Apply LLMs and Generative AI & Agentic AI techniques to solve real-world problems.
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Build, train, fine-tune, and evaluate models for NLP and GenAI tasks.
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Collaborate with data engineers, MLOps, and product teams to operationalize models.
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Contribute to the development of scalable AI services and applications.
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Analyze large datasets to extract insights and support model development.
- Maintain clean, modular, and version-controlled code using Git.
Requirements
Requirements
Must-Have Skills:
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2–7years of hands-on experience with Python for data science and ML applications.
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Strong expertise in Machine Learning algorithms and model development.
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Proficient in Natural Language Processing (NLP) and text analytics.
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Experience with Large Language Models (LLMs) and Generative AI frameworks (e.g., LangChain, Hugging Face Transformers).
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Familiarity with model deployment and real-world application integration.
- Experience with version control systems like Git.
Good to Have:
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Experience with PySpark for distributed data processing.
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Exposure to MLOps practices and model lifecycle management.
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Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Knowledge of vector databases.
Benefits
Standard Company Benefits
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