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Salary
$62k – $66k per year
Location
In office (Warsaw)
Seniority
Middle · 3+ years exp
Employment
Contractor
Overview
Company
Impact
Profile match
SHIMI is a Polish recruitment, IT body leasing, and HR outsourcing agency headquartered in Warsaw. The company provides talent acquisition and staff augmentation services across several core areas, including IT & Engineering, SSC/BPO (Shared Service Centers/Business Process Outsourcing), Finance, and Sales. Its service models include permanent placement recruitment, IT body leasing/contracting, and full HR and payroll administration for client organizations operating in Poland and across the EU.

Currently, for one of our Partners, we are looking for an experienced Data Engineer / ML Engineer (m/f/n) to support a data and machine learning project delivered for an international client.

In this role, you will:

  • Write production-ready code for data and ML solutions.

  • Leverage GPU and CPU resources appropriately and understand capacity requirements for ML workloads.

  • Architect, automate and orchestrate DevOps / MLOps pipelines in cloud environments.

  • Build reusable tools and frameworks to monitor, optimize and maintain ML solutions.

  • Design and implement data engineering pipelines, including ETL workflows.

  • Collaborate with the team to translate business problems into scalable technical solutions.

  • Support business continuity, scalability and appropriate turnaround time for delivered solutions.

  • Participate in internal workshops, external meetups and technical knowledge-sharing activities.

  • Keep up to date with new developments in AI/ML and related technologies.

Requirements

  • Commercial experience in data engineering / ML engineering: 3-4 years.

  • Bachelor's or master's degree in Computer Science, Operations Research, Mathematics, Computing or a related field.

  • Experience working with large datasets from varied sources.

  • Strong programming skills, preferably in Python.

  • Experience with Docker and containerized environments.

  • Experience with container orchestration using Kubernetes.

  • Experience in cloud application development, preferably with Google Cloud Platform and/or Microsoft Azure.

  • Experience designing, building and maintaining ETL workflows and data pipelines.

  • Experience with orchestration tools such as Apache Airflow, Kubeflow or similar.

  • Practical knowledge of DevOps practices, including CI/CD and Git-based workflows.

  • Good understanding of Unix/Linux environments.

  • Hands-on experience designing, building and supporting RESTful APIs.

  • Working knowledge of machine learning and deep learning concepts.

  • Experience supporting model deployment and monitoring.

  • Strong problem-solving, debugging and troubleshooting skills.

  • Ability to design and implement solutions to complex technical issues.

  • Strong communication skills and collaborative work style.

  • Result-oriented and quality-focused approach.

  • Availability to work from the client's office in central Warsaw 2 days per week - mandatory requirement.

Nice to have

  • Experience with deep learning platforms such as Keras, TensorFlow and/or PyTorch.

  • In-depth understanding of key machine learning and deep learning algorithms.

  • Familiarity with data engineering tools such as Flink, Spark and/or Kafka.

  • Experience with big data stack: Spark, Hadoop, Storm, Hive, Pig.

  • Experience with NoSQL databases.

  • Knowledge of oilfield terminology and business practices.

  • Experience with IoT / Edge technologies.

  • Recognized open-source contributions.

  • Experience presenting technical topics at meetups, conferences or internal workshops.

Offer

  • Contract: B2B via SHIMI.

  • Type of work: hybrid (mandatory presence in the client's office in central Warsaw 2 days per week)

  • Rate: up to 128 PLN/h net + VAT.

  • Sportscard and provate medical care.

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