Mid-Level Machine Learning (ML) / LLM Data Analyst

Vibrant Wellness

Vibrant Wellness is at the forefront of utilizing machine learning and large language model technologies to address real-world problems. The Mid-Level ML/LLM Data Analyst role is integral to enhancing data processing and developing new AI features. Joining the team offers involvement in ambitious projects, contributing to the evolution of data-driven decision-making.

In this role you can expect to have the responsibilities:

• Analyze and prepare large datasets for model training.
• Design and implement ML and LLM models using frameworks such as TensorFlow or PyTorch.
• Evaluate model performance and optimize for accuracy and efficiency.
• Integrate LLMs into existing products to enhance natural language understanding.
• Deploy ML models to production, ensuring reliable operations.
• Present data findings and insights to stakeholders.
• Collaborate on projects with senior team members and mentor juniors.
• Engage in research to explore advancements in ML and LLMs.

This role comes with the following benefits:

• Collaborative and dynamic team environment.
• Competitive salary with comprehensive health insurance and retirement plans.
• Inclusive culture celebrating diversity.

This role requires you to have:

• Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
• Experience in data analysis and handling large datasets.
• Strong analytical and problem-solving skills.
• Effective communication with technical and non-technical audiences.

You would benefit from having:

• Experience with distributed training and GPU processing.
• Familiarity with cloud platforms for ML deployment such as AWS or GCP.
• Knowledge of transformers and models like BERT or GPT.
• Understanding of MLOps and ML workflow automation.

Candidates must be willing to relocate to Santa Clara, CA 95054 before starting work.