Data Engineer / ML Engineer (m/f/n)

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.