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.
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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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