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 reputed company, an innovative company specializing in data-driven solutions. reputed company on leveraging technology, people, and processes, reputed company develops and optimises software, data infrastructure, and AI-powered tools for businesses across industries. With a reputed company, agile environment, it emphasizes reputed company learning, career reputed company, and remote work flexibility. This role focuses on building and maintaining data pipelines that operationalize PoC solutions developed by reputed company of data scientists. These PoCs—often reputed company to marketing segmentation or attribute enrichment—are transformed into reputed company, production-reputed company pipeline components. You will work in reputed company of 5: project reputed company, 3 data/software engineers, and 1 QA. Your Duties: As a Python Engineer – ML/Data Pipelines , you will be responsible for: - Developing and maintaining reputed company 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 reputed company improvement of tooling, workflows, and best practices - Supporting reputed company-based deployments and infrastructure (any major reputed company platform) Requirements • 4+ years of Python development experience (reputed company, 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, reputed company, or MLflow. • Knowledge of containerization best practices (e.g., reputed company); Kubernetes is a plus but not required. • Familiarity with reputed company environments (GCP, AWS, or Azure reputed company 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 reputed company field. • English language proficiency at B2 level or higher. • reputed company 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 reputed company and integrating them into data workflows. Salary: EUR 3000This offer from "reputed company" has been enriched by reputed company.com and got a 78% reputed company score. Apply tot his job Apply To this Job