Remote AI Engineer: LLMs & GenAI Innovator

Capital District Physicians Health Plan Inc; City of Binghamton (NY); Hybrid; USD 65,000 - 142,000; Full time

Job summary

CDPHP in New York is seeking an AI Engineer to join a collaborative team building cutting-edge ML/AI models, including large language models and generative AI, to drive better member health outcomes. You will design data pipelines, prep data with engineers, and help monitor models in production while leveraging Databricks and cloud ML platforms.

As you advance, you will contribute to ML lifecycle governance, collaborate across teams, and share knowledge on new AI techniques, with opportunities

Qualifications

• Bachelor's degree or six years of relevant AI/ML experience.
• Experience developing AI/ML solutions and basic ML concepts.
• Experience with databases, SQL, and data manipulation.
• Willingness to learn and problem-solving mindset.

Responsibilities

• Develop AI/ML solutions to solve business problems and improve member health outcomes, including LLMs and NLP.
• Builds and refines data pipelines for feature engineering and ML model input.
• Collaborates with data engineering teams to acquire, clean, and prepare data for model training.
• Supports model evaluation, testing, and performance monitoring in pre-production environments.
• Works within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.
• Understands ML Operations principles and collaborates with CI/CD and ML Operations engineers for model deployment and monitoring.
• Participates in peer code reviews and follows best practices for software development in AI.
• Stays up to date with industry trends and new developments in AI/ML.
• Develops and refines prompt engineering techniques for optimizing interactions with LLMs and generative AI applications.

Skills

AI/ML concepts

NLP

LLMs

CI/CD

MLOps

SQL

Education

Bachelor's degree or equivalent

Tools

Databricks

AWS SageMaker

Azure ML

Spark

Job description

CDPHP in New York is seeking an AI Engineer to join a collaborative team building cutting-edge ML/AI models, including large language models and generative AI, to drive better member health outcomes. You will design data pipelines, prep data with engineers, and help monitor models in production while leveraging Databricks and cloud ML platforms.

As you advance, you will contribute to ML lifecycle governance, collaborate across teams, and share knowledge on new AI techniques, with opportunities