Machine Learning Engineer

O projekcie:
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.

Wymagania:
- 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

Codzienne zadania:
- 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)