Senior MLOps Engineer (AWS / GenAI)

Ework Group, founded in 2000 and listed on Nasdaq Stockholm, is a total talent solutions provider with around 13,000 independent professionals on assignment. The company partners with clients in both private and public sectors, focusing on IT/OT, R&D, Engineering, and Business Development to deliver sustainable value through holistic talent management. This role supports a client from the banking industry.

• Strong hands-on experience with AWS cloud at an advanced level
• Practical experience with AWS SageMaker and AWS Bedrock (GenAI / LLMs)
• Broad knowledge of AWS ecosystem including S3, Glue, Glue Catalog, Athena, Lambda, EC2, ECS, Fargate, Step Functions, EventBridge, SNS, IAM, VPC, KMS, CloudWatch, X-Ray, CloudTrail
• Experience in building MLOps pipelines or ML platforms
• Hands-on experience with Terraform (Infrastructure as Code)
• Experience with tools like MLflow
• Strong understanding of ML lifecycle and deployment challenges

• Design and implement MLOps / GenAI Ops frameworks for production AI use cases
• Build and manage end-to-end ML pipelines including training, deployment, monitoring, and retraining
• Work with LLM-based solutions (GenAI) using AWS Bedrock
• Develop and maintain scalable AI/ML infrastructure on AWS
• Orchestrate workflows using AWS Step Functions, EventBridge, and Lambda
• Provision and manage cloud infrastructure using Terraform (Infrastructure as Code)
• Ensure proper monitoring, logging, and observability using CloudWatch, X-Ray, and CloudTrail
• Collaborate with cross-functional teams (Data, AI, Engineering) to deliver AI solutions
• Support implementation of agent-based AI systems (Agentic AI)

Location requirement: Hybrid work with 3 days per week at the office in Warsaw.