EPAM·3 дн назад
Senior AI Engineer with AWS and Databricks
🌍 УдалённоSeniorПолная занятостьАутсорс
44
Есть о чём спросить
Вилки нет, про деньги придётся договариваться с нуля.
Чем предстоит заниматься
Design, build, and deploy AI/ML solutions across the full software development lifecycle
Develop and implement AI agents and Gen AI solutions for enterprise-grade use cases
Own AI solutions end-to-end, from model development and deployment to monitoring and support
Integrate AI capabilities into business applications and data products
Work with large-scale data to build and support production AI workloads
Optimize AI models and pipelines for performance, scalability, and cost efficiency
Manage model governance, versioning, and lifecycle using MLflow
Leverage Databricks-native capabilities, including Feature Store, Model Serving, Lakehouse AI, and Unity Catalog
Collaborate with cross-functional teams to ensure AI solutions meet business and technical requirements
Monitor and maintain AI solutions in production, ensuring reliability and performance
Наши требования
5+ years of experience in AI/ML engineering, with a focus on production-grade solutions
Expertise in AI agents development and Gen AI solutions development
Proficiency in Amazon Web Services and Databricks
Skills in MLflow, Feature Store, and Model Serving
Knowledge of Lakehouse AI and Unity Catalog
Background in integrating AI capabilities into business applications and data products
Understanding of large-scale data processing and production AI workload management
English proficiency at B2 level or higher
Familiarity with AWS Bedrock
Дополнительно
We are looking for a hands-on Senior AI Engineer
With strong production experience on AWS and Databricks to design, build, deploy, and support AI/ML solutions across the full software development lifecycle. The ideal candidate has successfully delivered enterprise-grade AI products using Databricks-native capabilities and has hands-on ownership of AI agents and Gen AI solutions in production environments