MLOps Engineer

Responsibilities:

• Implement MLOps, GenAI Ops and Agentic AI Ops frameworks for AI use cases in the GFCP area
• Design and configure AWS-based environments supporting AI/ML workloads
• Work with AWS SageMaker and Bedrock to enable development, deployment and operationalization of AI solutions
• Provision and manage cloud infrastructure using Terraform
• Build and maintain automated workflows using AWS services such as Step Functions, Lambda, EventBridge and SNS
• Support integration of AI/ML solutions with data services including S3, Glue, Glue Catalog, Athena and Knowledge Bases
• Ensure proper security, monitoring, logging and governance using services such as IAM, VPC, KMS, CloudWatch, CloudTrail and X-Ray
• Collaborate with technical teams and stakeholders to deliver AI capabilities in line with program objectives
• Support scalable deployment and operational stability of AI solutions across cloud environments

Requirements:

• Minimum 5 years of professional experience as an IT Developer, MLOps Engineer, Cloud Engineer or in a similar technical role
• Strong hands-on experience with AWS SageMaker and AWS Bedrock
• Practical experience working with multiple AWS services, including Glue, S3, VPC, Step Functions, IAM, X-Ray, Knowledge Bases, CloudWatch, CloudTrail, Glue Catalog, SNS, EventBridge, Lambda, EC2, ECS, Fargate, KMS, MLflow and Athena
• Experience in provisioning AWS cloud resources using Terraform
• Strong understanding of cloud-native architecture and DevOps principles
• Experience in building, deploying and operationalizing AI/ML solutions in AWS environments
• Ability to work with complex cloud environments and support secure, scalable implementations
• Good communication skills and the ability to cooperate effectively with technical and business stakeholders
• Fluency in English (both written and spoken)

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program