ML Engineer

praca hybrydowa

Lokalizacja:

Warsaw

Data dodania:

2026-08-31

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Wymagane umiejętności:

Docker
ETL
Keras
Python
Machine Learning
TensorFlow/PyTorch
GCP/Azure/AS
Airflow

Mile widziane:

Kafka
Hadoop
Spark

Forma zatrudnienia:

Stawka:

180 PLN / h

netto miesięcznie ( + VAT)

Opis projektu:

Location: Warsaw, 2 days a week from the office

Twój zakres obowiązków:

  • Script production-ready codes
  • Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads
  • Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud
  • Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions
  • Design and implement data engineering pipelines (ETL)
  • Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time
  • Conduct internal workshops and external meetups, participate in external conferences, and give talks
  • Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed.

Nasze wymagania:

  • A bachelor’s or master’s degree in Computer Science, Operations Research, Mathematics and Computing with 3-4 years of relevant experience
  • Experience of working with large data sets, coming from varied sources
  • Excellent Programming Skills (Python Preferred)
  • Experience with containerization (Docker) and container orchestration using Kubernetes
  • Experience in Cloud Application Development (Google Cloud Platform & Azure Preferred)
  • Great at solving problems; debugging; troubleshooting; and designing & implementing solutions to complex technical issues
  • Experience designing, building, and maintaining ETL workflows and data pipelines, using orchestration tools like Apache Airflow, Kubeflow, or similar
  • Proficiency with DevOps practices, including CI/CD, Git-based workflows
  • Comfortable working in Unix/Linux environments
  • Hands on experience of designing, building, and supporting RESTful APIs
  • Working knowledge of machine learning and deep learning concepts, and experience supporting model deployment and monitoring

To oferujemy:

  • 2 days a week in the office

Benefity:

Prywatna opieka medyczna

Dofinansowanie zajęć sportowych

Interesuje Cię ta oferta?

APLIKUJ

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