Senior Data / MLOps Engineer
⚲ Warszawa, Wola
135–145 zł netto (+ VAT) / godz.
Wymagania
- Agile
- Apache Spark
- AWS CDK
- AWS Lambdas
- CI/CD
- ETL/ELT
- PySpark
- Python
- PyTorch
- SQL
- Training Design
Opis stanowiska
Nasze wymagania:
Can work closely with Data Scientists and help productionize their solutions.
Understand ML models, their trade-offs, and monitoring requirements.
Have hands-on experience implementing solutions using PySpark and SageMaker.
Understand the full Machine Learning lifecycle beyond model development.
O projekcie:
Join CT&C Engineering and help build scalable data platforms and production-grade Machine Learning solutions. We're looking for an engineer who can bridge the gap between Data Science and Production, turning ML models into reliable, automated, and monitored systems running at scale.
Tech stack
Python | PySpark | Apache Spark | AWS | SageMaker | SQL | CI/CD | ETL/ELT | AWS CDK | AWS Lambdas | PyTorch
Zakres obowiązków:
Deploy and maintain end-to-end ML lifecycles, including automated training, deployment, and versioning.
Build and support core MLOps components, including Feature Stores, experiment tracking, and model registries.
Develop CI/CD/CT pipelines for Machine Learning workloads.
Build and optimize high-volume data pipelines using Apache Spark and PySpark.
Design scalable cloud infrastructure using Infrastructure as Code.
Implement monitoring for model drift, data quality, and system performance.
Ensure reproducibility through versioning of data, code, and artifacts.
Collaborate closely with Data Scientists and Product Owners to deliver production-ready ML solutions.
Oferujemy:
Up to 145 PLN/hour net on a B2B contract.
Payments processed in your preferred form.
Short 14-day invoice payment term.
Comprehensive private healthcare package.
Access to the MyBenefit benefits platform (including the option to order Multisport cards, prepaid gift cards for Ikea, Zalando, Notino, and many other brands).
Can work closely with Data Scientists and help productionize their solutions.
Understand ML models, their trade-offs, and monitoring requirements.
Have hands-on experience implementing solutions using PySpark and SageMaker.
Understand the full Machine Learning lifecycle beyond model development.
O projekcie:
Join CT&C Engineering and help build scalable data platforms and production-grade Machine Learning solutions. We're looking for an engineer who can bridge the gap between Data Science and Production, turning ML models into reliable, automated, and monitored systems running at scale.
Tech stack
Python | PySpark | Apache Spark | AWS | SageMaker | SQL | CI/CD | ETL/ELT | AWS CDK | AWS Lambdas | PyTorch
Zakres obowiązków:
Deploy and maintain end-to-end ML lifecycles, including automated training, deployment, and versioning.
Build and support core MLOps components, including Feature Stores, experiment tracking, and model registries.
Develop CI/CD/CT pipelines for Machine Learning workloads.
Build and optimize high-volume data pipelines using Apache Spark and PySpark.
Design scalable cloud infrastructure using Infrastructure as Code.
Implement monitoring for model drift, data quality, and system performance.
Ensure reproducibility through versioning of data, code, and artifacts.
Collaborate closely with Data Scientists and Product Owners to deliver production-ready ML solutions.
Oferujemy:
Up to 145 PLN/hour net on a B2B contract.
Payments processed in your preferred form.
Short 14-day invoice payment term.
Comprehensive private healthcare package.
Access to the MyBenefit benefits platform (including the option to order Multisport cards, prepaid gift cards for Ikea, Zalando, Notino, and many other brands).
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.