Remote AI Engineer: LLMs, Generative AI & ML Ops

Excellus BCBS; États-Unis; À distance; USD 65 000 - 142 000; Plein temps

Résumé du poste

Excellus BCBS is seeking an AI Engineer to join a collaborative team delivering cutting‑edge ML and AI solutions that improve member health outcomes. You will work with LLMs, generative AI, NLP, and scalable data pipelines on cloud platforms such as Databricks.

You will translate business needs into AI models, optimize performance, and collaborate with CI/CD and ML Ops teams to deploy and monitor production systems while upholding privacy and security standards.

Qualifications

• Bachelor’s degree required; in lieu of a degree, six (6) years of relevant experience.
• Hands-on experience developing AI/ML solutions for real-world applications.
• Experience with cloud-based ML platforms (Databricks, SageMaker, or Azure ML).
• Familiarity with CI/CD and MLOps/LLM Ops principles.

Responsabilités

• Develop AI/ML solutions to solve business problems and improve member health outcomes, including LLMs and generative AI.
• Builds and refines data pipelines for feature engineering and ML model input.
• Collaborates with data engineering to prepare data for model training.
• Supports model evaluation, testing, and monitoring in pre-production environments.
• Works within cloud-based ML platforms to develop and optimize AI models.
• Participates in peer code reviews and follows AI software development best practices.

Connaissances

ML concepts

LLMs

SQL basics

Problem solving

Formation

Bachelor’s degree

Outils

Databricks

AWS SageMaker

Azure ML

Spark

Description du poste

Excellus BCBS is seeking an AI Engineer to join a collaborative team delivering cutting‑edge ML and AI solutions that improve member health outcomes. You will work with LLMs, generative AI, NLP, and scalable data pipelines on cloud platforms such as Databricks.

You will translate business needs into AI models, optimize performance, and collaborate with CI/CD and ML Ops teams to deploy and monitor production systems while upholding privacy and security standards.