Data Scientist - Generative AI

<p><p><b>Responsibilities : </b><br/><br/></p><p>- Proven ability to work on end-to-end ML projects from research to production.<br/><br/></p><p>- Conduct in-depth machine learning research and stay updated with state-of-the-art advancements.<br/><br/></p><p>- Read, interpret, and implement research papers, especially in the Generative AI domain.<br/><br/></p><p>- Mentor and guide junior data scientists and interns in executing real-world projects.<br/><br/></p><p>- Design and build machine learning and deep learning models to solve complex business challenges.<br/><br/></p><p>- Work collaboratively across teams to turn data into decisions, and models into products.<br/><br/><p><b>Requirements : </b></p><p><br/></p>- 5 to 7 years of experience in Data Science or Machine Learning roles.<br/><br/></p><p>- Strong foundation in Statistics and Probability.<br/><br/></p><p>- Advanced proficiency in Python for data science and ML workflows.<br/><br/></p><p>- Hands-on experience with key libraries like Scikit-learn, Keras, TensorFlow, and PyTorch.<br/><br/></p><p>- Expertise in core ML algorithms like Linear/Logistic Regression, Decision Trees, Gradient Descent, SVMs, etc.<br/><br/></p><p>- Deep familiarity with Transformer architectures and working with Large Language Models (LLMs).<br/><br/></p><p>- Experience with frameworks like Langchain or LlamaIndex for building LLM-based applications.<br/><br/></p><p>- Ability to turn theoretical models into production-ready code with clarity and precision.</p><br/></p> (ref:hirist.tech)