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 RES

Tful 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 private medical care.