Python Engineer – ML/Data Pipelines

This a Full Remote job, the offer is available from: Europe This is a remote position. About the Project ​ Currently, we are looking for a Python Engineer – Data Pipelines for our key client, an innovative company specializing in data-driven solutions. Focused on leveraging technology, people, and processes, the company develops and optimises software, data infrastructure, and AI-powered tools for businesses across industries. With a collaborative, agile environment, it emphasizes continuous learning, career growth, and remote work flexibility. This role focuses on building and maintaining data pipelines that operationalize PoC solutions developed by a team of data scientists. These PoCs—often related to marketing segmentation or attribute enrichment—are transformed into scalable, production-ready pipeline components. You will work in a team of 5: project lead, 3 data/software engineers, and 1 QA. Your Duties: As a Python Engineer – ML/Data Pipelines , you will be responsible for: - Developing and maintaining scalable data pipelines to support production deployment - Translating Python-based scripts from data scientists into robust, maintainable pipeline components - Implementing workflow orchestration using Kubeflow or similar tools (Airflow, Argo, MLflow, etc.) - Collaborating with data scientists to understand PoC requirements and convert them into production workflows - Optimizing pipelines for performance, reliability, and efficient resource usage - Debugging, monitoring, and resolving pipeline issues in production environments - Contributing to continuous improvement of tooling, workflows, and best practices - Supporting cloud-based deployments and infrastructure (any major cloud platform) Requirements • 4+ years of Python development experience (APIs, automation, backend systems, or pipeline work). • Strong understanding of data workflows, data processing, or data management. • Experience with workflow orchestration tools such as Kubeflow, Airflow, Argo, Prefect, or MLflow. • Knowledge of containerization best practices (e.g., Docker); Kubernetes is a plus but not required. • Familiarity with cloud environments (GCP, AWS, or Azure all acceptable). • Strong debugging, problem-solving, and communication skills. • Experience collaborating in cross-functional engineering teams. • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • English language proficiency at B2 level or higher. • Nice to have: • Familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn) not required. • Experience with CI/CD pipelines and DevOps tools. • Exposure to Kubernetes. • Experience working with databases especially Snowflake and integrating them into data workflows. Salary: EUR 3000This offer from "Gegidze" has been enriched by Jobgether.com and got a 78% flex score. Apply tot his job Apply To this Job