Job Overview
Company
SPI TECHNOLOGIES INDIA PRIVATE LIMITED
Category
Mathematical Science Occupations
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Job Description
<p><p><b>Data Scientist</b><br/><br/>We're seeking an experienced Data Scientist with 5+ years of experience to join our team.<br/><br/>In this role, you'll be responsible for developing, deploying, and maintaining data-driven solutions that directly impact business outcomes.<br/><br/>A key part of your work will involve leveraging your expertise in Generative AI (GenAI) and Large Language Models (LLMs) to create innovative products and enhance existing systems.<br/><br/><b>Responsibilities :</b></p><p><p><b><br/></b></p>- Lead end-to-end data science projects, from data collection and preprocessing to model deployment and monitoring.<br/><br/></p><p>- Design, build, and fine-tune Large Language Models (LLMs) and other GenAI models to solve complex business problems.<br/><br/></p><p>- Develop and implement solutions using advanced techniques like Retrieval-Augmented Generation (RAG) and prompt engineering.<br/><br/></p><p>- Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions.<br/><br/></p><p>- Stay up-to-date with the latest research and industry trends in data science, machine learning, and GenAI.<br/><br/><b>Qualifications :</b></p><p><p><b><br/></b></p>- 5+ years of professional experience as a Data Scientist or in a related role.<br/><br/></p><p>- 1+ year of hands-on experience with GenAI and LLM development, including fine-tuning and deployment of models.<br/><br/></p><p>- Proficiency in programming languages, particularly Python, and relevant libraries such as PyTorch, TensorFlow, and Hugging Face.<br/><br/></p><p>- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools for model deployment and management.<br/><br/></p><p>- A strong background in machine learning fundamentals, NLP, and statistical analysis.<br/><br/></p><p>- Excellent problem-solving, communication, and collaboration skills.</p><br/></p> (ref:hirist.tech)
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