Position Overview
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.
Your Responsibilities:
- Designing, 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.
Qualifications:
- 5+ years of hands-on experience in machine learning engineering
- Strong 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 optimization
- Proven experience designing and deploying recommender systems
- Hands-on experience with AWS SageMaker and the broader AWS ML ecosystem
- Practical experience building and maintaining data pipelines and ML workflows
- Experience working with production ML systems and MLOps practices
What We Offer
- Fully remote work
- International team with clear processes
- Paid vacation, holidays, and sick leave
