EPAM Georgia is seeking a Data Solution Architect/AI Architect to craft solutions that meet diverse requirements and needs, driving innovation and enhancing the design of AI systems on the AWS platform.
Requirements
- Hands-on production experience as a Data Architect with a production background in design or development
- Industry knowledge in AWS ML services, including AWS SageMaker
- Qualifications in DevOps, Cloud Operations and ML engineering
- Skills in AWS administration and permission management
- Expertise with building enterprise scale ML and LLM solutions
- High proficiency with Docker, IaC (Terraform) and CI/CD (Atlassian Bamboo)
- Ability to build and use model management tools such as MLflow
Responsibilities
- Create an architecture for utilizing and publishing data within the data mesh
- Develop a strategy to identify the specific machine learning tools, models and training sets to construct
- Collaborate with the AI labs, data, infrastructure and platform teams to implement ML-based services using AWS SageMaker
- Analyze the existing AWS account configuration for data scientists and MLEs, working closely with StSt MLE and DevOps experts
- Assess current AI pipelines and their integration with other services
- Design and build infrastructure to facilitate the experimentation and deployment of AI systems
- Cooperate with the AI Labs team to enhance current ML workflows and software development standards
Other
- B2+ English level, both written and spoken
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Five trust days per year (sick leave without a medical certificate)
