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Data Scientist - LLM and Deep Learning Focus - Santa Clara California
Company: Serigor Inc
Location: Santa Clara, California
Posted On: 11/07/2024
Job Title: Data Scientist - LLM and Deep Learning FocusLocation: Santa Clara, CADuration: 12+ MonthsJob Description:We are seeking a talented Data Scientist with a strong focus on LLM (Large Language Models) and Deep Learning to join our team. As a Data Scientist, you will play a key role in developing and deploying advanced machine learning models and algorithms to extract insights from large datasets and drive business value.Responsibilities: LLM Lead with Deployment experience and NLP experience related to Data Science- Deep Learning Someone who can drive the projects and take ownership Research, design, and implement machine learning models and algorithms, with a focus on LLM and Deep Learning techniques. Collaborate with cross-functional teams to identify business problems and opportunities where machine learning solutions can add value. Develop and deploy scalable and efficient machine learning pipelines for processing and analyzing large volumes of structured and unstructured data. Perform data preprocessing, feature engineering, and model training/validation using state-of-the-art machine learning frameworks and libraries. Evaluate model performance and interpret results to derive actionable insights and recommendations. Stay updated on the latest advancements in machine learning, particularly in the areas of LLM and Deep Learning, and apply cutting-edge techniques to solve complex problems. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.Qualifications: Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Scientist, with a focus on machine learning, LLM, and Deep Learning. Strong programming skills in Python and proficiency in machine learning libraries such as TensorFlow, PyTorch, or Keras. Experience with large-scale data processing and distributed computing frameworks (e.g., Spark, Hadoop). Solid understanding of statistical analysis, probability theory, and optimization algorithms. Excellent problem-solving and analytical skills, with the ability to translate business requirements into data-driven solutions. Strong communication and collaboration skills.Preferred Qualifications: Experience working with natural language processing (NLP) techniques and libraries. Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with software development best practices and version control systems (e.g., Git). Publications or contributions to the data science/machine learning community. Experience in industries such as healthcare, finance, or e-commerce.
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