Data Scientist

Role Overview: As a Data Scientist with 5+ years of experience, you will play a crucial role in developing, deploying, and maintaining data-driven solutions that have a direct impact on business outcomes. Your expertise in Generative AI (GenAI) and Large Language Models (LLMs) will be essential in creating innovative products and enhancing existing systems. Key Responsibilities: - Lead end-to-end data science projects, managing tasks from data collection and preprocessing to model deployment and monitoring. - Design, build, and fine-tune Large Language Models (LLMs) and other GenAI models to address complex business challenges. - Develop and implement solutions using advanced techniques like Retrieval-Augmented Generation (RAG) and prompt engineering. - Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. - Stay updated with the latest research and industry trends in data science, machine learning, and GenAI. Qualifications: - 5+ years of professional experience as a Data Scientist or in a related role. - 1+ year of hands-on experience with GenAI and LLM development, including fine-tuning and deployment of models. - Proficiency in programming languages, especially Python, and relevant libraries like PyTorch, TensorFlow, and Hugging Face. - Familiarity with cloud platforms such as AWS, GCP, or Azure, and MLOps tools for model deployment and management. - Strong background in machine learning fundamentals, NLP, and statistical analysis. - Excellent problem-solving, communication, and collaboration skills. Role Overview: As a Data Scientist with 5+ years of experience, you will play a crucial role in developing, deploying, and maintaining data-driven solutions that have a direct impact on business outcomes. Your expertise in Generative AI (GenAI) and Large Language Models (LLMs) will be essential in creating innovative products and enhancing existing systems. Key Responsibilities: - Lead end-to-end data science projects, managing tasks from data collection and preprocessing to model deployment and monitoring. - Design, build, and fine-tune Large Language Models (LLMs) and other GenAI models to address complex business challenges. - Develop and implement solutions using advanced techniques like Retrieval-Augmented Generation (RAG) and prompt engineering. - Collaborate with cross-functional teams, including product, engineering, and business stakeholders, to deliver impactful solutions. - Stay updated with the latest research and industry trends in data science, machine learning, and GenAI. Qualifications: - 5+ years of professional experience as a Data Scientist or in a related role. - 1+ year of hands-on experience with GenAI and LLM development, including fine-tuning and deployment of models. - Proficiency in programming languages, especially Python, and relevant libraries like PyTorch, TensorFlow, and Hugging Face. - Familiarity with cloud platforms such as AWS, GCP, or Azure, and MLOps tools for model deployment and management. - Strong background in machine learning fundamentals, NLP, and statistical analysis. - Excellent problem-solving, communication, and collaboration skills.