Senior Engineer AWS AI & MLOps
POL Krakow - Eng, Poland
PLN 246K-383K (estimate) Senior-level Full Time
Tasks
- Architect multi zone highly available ML platforms
- Build CI/CD pipelines using GitHub
- Build ML observability monitoring logging and metrics
- Build and operate multi GPU training environments with Ray clusters
- Define infrastructure standards for compute networking storage security
- Design MLOps architecture on AWS
- Design multi zone resilience fault tolerance disaster recovery
- Enable reproducible traceable auditable ML workflows
- Enforce train test split governance
- Establish data quality checks and validation frameworks
- Implement AWS Lambda for event driven ML workflows
- Implement AWS VPC network isolation
- Implement MLflow for experiment tracking and model management
- Implement S3 for sensor and training data storage
- Implement and manage Amazon EKS Kubernetes for ML workloads
- Implement data ingestion preprocessing pipelines
- Optimize training performance and cost
- Orchestrate ML pipelines with Apache Airflow
- Provision AWS IoT infrastructure with Terraform
- Support training evaluation and deployment workflows
Perks/Benefits
- Employee pension plan
- Flexible working hours
- Hybrid work
- Life insurance
- Private health care
- Sports groups and multisport card
- Well-being program
Skills/Tech-stack
AWS | AWS IoT | AWS Lambda | Amazon EKS | Apache Airflow | CI/CD | EKS | GitHub | Kubernetes | ML Ops | MLflow | Machine Learning | Python | Ray | S3 | Terraform | VPC
Education
N/A
Roles
AI | AI Engineer | Architect | Cloud Architect | Cloud) | Engineer | MLOps Engineer
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