About this role

Machine Learning Engineer AVENGA (Agencja Pracy, nr KRAZ: 8448) Daily tasks: - Design and implement MLOps / GenAI Ops frameworks for production AI use cases - Build and manage end-to-end ML pipelines (training, deployment, monitoring, retraining) - Work with LLM-based solutions (GenAI) using AWS Bedrock - Develop and maintain scalable AI/ML infrastructure on AWS - Orchestrate workflows using services such as Step Functions, EventBridge, and Lambda - Provision and manage cloud infrastructure using Terraform (Infrastructure as Code) - Ensure proper monitoring, logging, and observability (CloudWatch, X-Ray, CloudTrail) - Collaborate with cross-functional teams (Data, AI, Engineering) to deliver AI solutions - Support implementation of agent-based AI systems (Agentic AI) Musts: AWS, Machine learning, MLOps, Terraform Strong hands-on experience with AWS cloud ( advanced level ) Practical experience with: AWS SageMaker AWS Bedrock ( GenAI / LLMs ) Broad knowledge of AWS ecosystem , including : Data: S3, Glue , Glue Catalog , Athena Compute : Lambda, EC2, ECS, Fargate Orchestration : Step Functions , EventBridge , SNS Security & networking : IAM, VPC, KMS Monitoring: CloudWatch , X-Ray, CloudTrail Experience in building MLOps pipelines or ML platforms Hands-on experience with Terraform ( IaC ) Experience with tools like MLflow Strong understanding of ML lifecycle and deployment challenges We are looking for an experienced Senior MLOps Engineer to support the implementation of advanced AI solutions within a large-scale program in the GenAI / AI domain .

In this role, you will be responsible for building and operationalizing MLOps / GenAI Ops / Agentic AI pipelines on AWS, enabling production-grade AI solutions for business- critical use cases .

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