Data Scientist - LLM and Deep Learning Focus

Santa Clara, CA, NC
Contracted
Experienced
Job Title: Data Scientist - LLM and Deep Learning Focus
Location: Santa Clara, CA
Duration: 12+ Months

Job 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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