CLO-2026-134 - Data Scientist

Job Summary

Responsibilities - Expertise in developing end-to-end Machine learning lifecycle utilizing crisp-DM which includes of data collection, cleansing, visualization, preprocessing, model development, model validation and model retraining

Responsibilities

• Expertise in developing end-to-end Machine learning lifecycle utilizing crisp-DM which includes of data collection, cleansing, visualization, preprocessing, model development, model validation and model retraining
• Proficient in building and implementing RAG systems that enhance the accuracy and relevance of model outputs by integrating retrieval mechanisms with generative models.
• Strong hands-on experience in designing, training, and fine-tuning Large Language Models (LLMs) for a domain specific application
• Expertise in leveraging both open and closed-source LLMs and their seamless integration into customized RAG-based chatbots, optimizing performance and relevance for specific use cases

Skills

• Good experience in using pandas, matplotlib, seaborn, sklearn, statsmodels, pycaret and H20.ai etc. for building Machine learning models and Opencv2, Spacy, NLTK, TensorFlow, Keras and FastAI etc in building Deep learning Models
• Worked and utilized data from various RDBMS like MYSQL, SQL Server, Postgres and NoSQL databases like MongoDB, Cassandra, Redis and graph DB like Neo4j, Grakn.
• Skilled in applying Agile principles to AI/ML projects, ensuring iterative development, continuous feedback, and adaptability to changing requirements

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