Data Scientist - LLM and Deep Learning Focus - Growth-Minded Organization

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.