Data Scientist
EXL (company site, opens in a new tab)3+ yrsKarnatakaHybridDirect career pageEst. 12–20 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain advanced Python applications in the Generative AI domain, focusing on high performance, reliability, and scalability.
- Implement and optimize state-of-the-art Generative AI models (e.g., GPT, LLAMA, Mistral, FLAN T5) and advanced RAG pipelines, including embeddings, indexing, chunking, reranking, prompts, and evaluation.
- Collaborate with cross-functional teams to integrate AI functionalities and assist delivery leads to ensure timely client delivery of Generative AI solutions.
Minimum Requirements
- Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Machine Learning, Mathematics, Statistics) or equivalent experience.
- 3+ years of hands-on work experience in data science/NLP and Python development, including building and optimizing ML models.
- Proficient in Python programming with experience in NumPy, Pandas, Scikit-learn, and NLP frameworks; experience with Natural Language Processing and advanced RAG pipelines.
- Experience or familiarity with cloud platforms (AWS, Azure, Databricks) and GPU resource management; experience with GitHub and Jira; SQL skills preferred but not mandatory.
Ideal Candidate Profile
- Strategic focus on developing scalable and efficient Generative AI solutions using cutting-edge NLP models and pipelines.
- Experience working both independently and collaboratively in fast-paced, innovative environments, supporting project delivery and client engagements.
- Strong foundation in object-oriented design, data structures, system integration, and ability to work with multiple data sources and testing tools.