AI Engineer: LLMs & Generative AI — ML Ops (Remote)

Excellus BCBS; City of Binghamton (NY); In loco; USD 65.000 - 142.000; Tempo pieno

Descrizione del lavoro

Excellus BCBS is seeking an AI Engineer to join a collaborative team creating advanced ML and AI models to tackle business challenges and improve member health outcomes. You will work on high-impact projects with LLMs, generative AI, and state-of-the-art algorithms in a modern cloud environment.

The role encompasses model development, data pipeline construction, and deployment through ML Ops, with opportunities to mentor others and influence governance practices.

Competenze

• Bachelor's degree required; in lieu of a degree, six years of relevant experience.
• Basic understanding of fundamental ML concepts, algorithms, and statistical techniques.
• Basic experience working with databases, SQL, and data manipulation.
• Hands-on experience developing ML models for real-world applications.
• Intermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ML).
• Experience with large-scale data pipelines and distributed computing frameworks (e.g., Spark).
• Familiarity with CI/CD and ML Ops principles to collaborate with deployment teams.
• Experience with large language models (LLMs) and generative AI technologies.

Mansioni

• Develops AI and 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 teams to prepare data for model training.
• Supports model evaluation, testing, and performance monitoring in pre-production.
• Works within cloud-based ML platforms to develop and optimize AI models.
• Understands ML Operations principles and collaborates with CI/CD and ML Ops for deployment and monitoring.
• Participates in peer code reviews and follows AI software development best practices.
• Stays up to date with AI/ML trends and developments.
• Develops and refines prompt engineering techniques for LLMs.
• Contributes to AI/ML model lifecycle ensuring reproducibility, scalability, and maintainability.
• Translates business objectives into AI/ML formulations and measurable success criteria.
• Optimizes ML models for performance, explainability, and efficiency.
• Supports integration of AI models with enterprise applications and data pipelines.
• Engages in continuous learning and shares knowledge on new techniques.
• Advances automation tools for model training, evaluation, and monitoring.
• Leads the discovery and solutioning process for AI opportunities.
• Designs scalable AI architectures that integrate with enterprise systems.
• Mentors junior engineers and fosters engineering excellence.

Formazione

Bachelor's degree

Strumenti

Databricks

AWS SageMaker

Azure ML

Spark

Descrizione del lavoro

Excellus BCBS is seeking an AI Engineer to join a collaborative team creating advanced ML and AI models to tackle business challenges and improve member health outcomes. You will work on high-impact projects with LLMs, generative AI, and state-of-the-art algorithms in a modern cloud environment.

The role encompasses model development, data pipeline construction, and deployment through ML Ops, with opportunities to mentor others and influence governance practices.