Applied AI Engineer
ExpiredSan DiegoLast seen 21 days ago
Summary
The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance. The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.
Data ScienceDevOps / InfrastructureAIAWSDockerKubernetesMachine LearningPythonAWS Certified Machine Learning SpecialtyAWS Certified Solutions ArchitectAWS EcsAWS EksAWS LambdaAWS S3AWS SagemakerCI CDData PipelinesELTETLFeature EngineeringGenerative AIHugging Face TransformersIso 27001LLM Large Language ModelsMlopsPyTorchRetrieval Augmented GenerationSnowflakeSoc 2TensorFlowTransformers