Senior Data Scientist
Senior Data Scientist
Posted on :
07-05-2025
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1 Vacancy
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Job Description
Job Description:
We are looking for a highly skilled Senior Data Scientist with 3 9 years of experience specializing in Python Large Language Models (LLMs) 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 productiongrade environments. You will work closely with crossfunctional teams to build innovative AI solutions that deliver real business value.
Responsibilities:
- Design develop and deploy ML/NLP solutions using Python and stateoftheart AI frameworks.
- Apply LLMs and Generative AI techniques to solve realworld problems.
- Build train finetune 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 versioncontrolled code using Git.
Requirements
MustHave Skills:
- 3 10 years of handson 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 realworld 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 (e.g. FAISS Pinecone) and embeddings.
Educational Qualification:
- Bachelor s or Master s degree in Computer Science Data Science Statistics or a related field.
Benefits
- Work with cuttingedge technologies in a collaborative and forwardthinking environment.
- Opportunities for continuous learning skill development and career growth.
- Exposure to highimpact projects in AI and data science.
Job Title: Senior Data Scientist LLM, NLP, GenAI Experience: 3 9 years Location: Hyderabad/Hybrid Employment Type: Full-time Job Description: We are looking for a highly skilled Data Scientist with 3 9 years of experience specializing in Python, Large Language Models (LLMs), 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 techniques to solve real-world problems. Build, train, fine-tune, and evaluate models for NLP and GenAI tasks. Be an expert in Natural Language Processing (NLP) and text analytics, driving innovative use cases across domains. 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: Must-Have Skills: 3 9 years of hands-on experience with Python for data science and ML applications. Strong expertise in Machine Learning algorithms and model development. Expert-level proficiency 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 (e.g., FAISS, Pinecone) and embeddings. Educational Qualification: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. What We Offer: Work with cutting-edge technologies in a collaborative and forward-thinking environment. Opportunities for continuous learning, skill development, and career growth. Exposure to high-impact projects in AI and data science.
Employment Type
Full Time
Key Skills
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