Senior Applied Scientist / Data Scientist (ML & LLM)

San Jose, California

Machine Learning

Permanent

Our client leads the charge in digital transformation, enabling organizations to enhance their efficiency. They are hiring a Senior Applied Scientist / Data Scientist to join their team, playing a crucial role in driving their mission forward by harnessing data-driven insights for innovation and informed decision-making.

Responsibilities:

As a Senior Applied Scientist / Data Scientist, you will create, develop and deploy machine learning models, including LLMs, to elevate the organization’s tools.
You will explore pioneering domains like generative AI, predictive analytics, and anomaly detection through research initiatives.
Work closely with engineering and product teams to embed AI/ML technologies into their solutions.
Extract actionable insights and refine model accuracy by analyzing extensive datasets.
Keep abreast of the latest developments in ML, AI, and cybersecurity to uphold the company’s position as an innovative leader.

Skillset:

PhD or Master’s degree in Computer Science, Machine Learning, Statistics or similar.
Minimum of five years of experience in Natural Language Processing (NLP) and handling substantial volumes of natural language data.
Proficiency in programming languages including Python and SQL, alongside ML frameworks like TensorFlow and PyTorch.
Sound comprehension of Machine Learning (ML) algorithms, deep learning methodologies, and their relevance in cybersecurity contexts.
Hands-on experience with cloud computing platforms such as AWS, Azure, and GCP, coupled with proficiency in big data technologies.
Familiarity with SQL and NoSQL databases, in addition to a solid grasp of data engineering principles.
Expertise in deploying scalable ML models into production environments for seamless integration and operational efficiency.