Machine Learning Engineer

We are a technology consultancy working with enterprise B2B clients across the US and Europe — manufacturing, distribution, high-tech. Our teams build and integrate complex digital commerce solutions on platforms like SAP, Salesforce, and Shopify. The project is long-term and actively growing.ResponsibilitiesDesigning, building, and optimizing machine learning models for production use, with a focus on recommender systems.Develop and maintain scalable ML pipelines, including data processing, training, evaluation, and deployment.Work with large datasets to extract insights and improve model performance.Collaborate with cross-functional teams to integrate ML solutions into production systems.Continuously improve model performance through experimentation, tuning, and monitoring.Ensure reliability and scalability of ML systems in cloud environments.Qualifications5+ years of hands‐on experience in machine learning engineeringStrong proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, scikit‐learn, XGBoost, etc.)Solid experience with deep learning, including model architecture, training, and optimizationProven experience designing and deploying recommender systemsHands‐on experience with AWS SageMaker and the broader AWS ML ecosystemPractical experience building and maintaining data pipelines and ML workflowsExperience working with production ML systems and MLOps practicesWhat We OfferFully remote workInternational team with clear processesPaid vacation, holidays, and sick leaveApply NowSend us your CV and we will get back to you.#J-18808-Ljbffr