AI Engineer: LLM & Generative AI Innovator

Capital District Physicians Health Plan Inc; Buffalo (NY); Presencial; USD 65 000 - 142 000; Tempo integral

Resumo da oferta

Capital District Physicians Health Plan Inc. is seeking an AI Engineer to advance ML/AI models, including LLMs and NLP, within a collaborative team. You will build scalable data pipelines, train and evaluate models, and work with Databricks and cloud ML services to deploy reliable AI solutions.

You will contribute to model governance, participate in code reviews, and continuously learn new AI techniques to improve member health outcomes.

Qualificações

• Bachelor's degree required or six years of relevant experience in AI/ML.
• Basic understanding of ML concepts and algorithms.
• Experience with databases, SQL, and data manipulation.
• Strong problem-solving skills and willingness to learn.

Responsabilidades

• Develop AI/ML solutions including LLMs and NLP applications.
• Build data pipelines for feature engineering and model input.
• Collaborate with data engineering to prepare data for training.
• Support model evaluation, testing, and monitoring in pre-production.
• Work with cloud ML platforms to develop and optimize models.
• Contribute to CI/CD and MLOps for deployment and monitoring.
• Lead code reviews and uphold AI software development best practices.
• Stay updated on AI/ML trends and techniques.
• Develop prompt engineering techniques for LLMs.

Conhecimentos

AI/ML concepts

SQL

Data manipulation

Problem solving

Cloud platforms

Spark

Formação académica

Bachelor's degree

Ferramentas

Databricks

AWS SageMaker

Azure ML

Descrição da oferta de emprego

Capital District Physicians Health Plan Inc. is seeking an AI Engineer to advance ML/AI models, including LLMs and NLP, within a collaborative team. You will build scalable data pipelines, train and evaluate models, and work with Databricks and cloud ML services to deploy reliable AI solutions.

You will contribute to model governance, participate in code reviews, and continuously learn new AI techniques to improve member health outcomes.