Principal Machine Learning Engineer

$144,200 - $288,400/Yr

CVS Health - Hartford, CT

Full-time - Senior

Hartford, CT

Health and Personal Care Retailers

About the position

As a Principal Machine Learning Engineer at CVS Health, you will lead the development and deployment of advanced machine learning models, focusing on large language models (LLMs) and natural language processing (NLP) techniques. This role involves collaboration with data scientists, engineers, and product managers to solve complex business challenges while ensuring scalability and performance optimization. You will also set technical standards, mentor junior engineers, and establish best practices in machine learning operations (MLOps) and responsible AI usage.

Responsibilities

• Lead the development and deployment of advanced machine learning models, particularly LLMs and NLP techniques.
• Collaborate with data scientists, engineers, and product managers to solve complex business challenges.
• Ensure scalability, performance optimization, and production readiness of machine learning models.
• Set technical standards and mentor junior engineers in machine learning operations (MLOps).
• Establish best practices in model governance and responsible AI usage.

Requirements

• 7+ years of experience developing machine learning models, focusing on NLP and LLMs.
• 7+ years of experience with Python and machine learning libraries like Langchain, Hugging Face Transformers, or NLTK.
• 5+ years of experience deploying and fine-tuning LLMs and RAG solutions for various use cases.
• 5+ years of experience with large-scale data processing tools and platforms (e.g., Spark, PubSub, Kafka).
• 5+ years of hands-on experience with cloud-based ML platforms (Google Vertex AI, Azure OpenAI).
• 5+ years of experience deploying end-to-end NLP pipelines, from data preprocessing to model serving and monitoring.
• 7+ years of experience with versioning, monitoring, and retraining models in production environments.

Nice-to-haves

• Deep understanding of NLP techniques such as tokenization, embeddings, and transfer learning in the context of LLMs.
• Experience in using pre-trained LLMs and fine-tuning them for domain-specific applications.
• Familiarity with reinforcement learning from human feedback (RLHF) and responsible AI guidelines.
• Experience working with large-scale text datasets and optimizing data pipelines for efficient training and inference.
• Knowledge of tools and frameworks for MLOps and model lifecycle management (e.g., MLflow, Kubeflow, DVC).
• Familiarity with vector databases and semantic search related to LLM-based applications.
• Strong leadership experience with a track record of mentoring technical teams.

Benefits

• Full range of medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Employee Stock Purchase Plan.
• Fully-paid term life insurance plan.
• Short-term and long-term disability benefits.
• Well-being programs and education assistance.
• Free development courses.
• CVS store discount and discount programs with participating partners.
• Paid Time Off (PTO) and paid holidays throughout the calendar year.