Machine Learning Engineer at VARTEQ Inc.

We are a technology consultancy working with enterprise B2B clients across the US and Europe, including manufacturing, distribution, and high-tech industries. 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.

Machine Learning Engineer

Emma

Responsibilities

Skills wanted:

Language(s) required:

Oksana Doroshenko Verified

Oksana Doroshenko Verified

About VARTEQ Inc.:

mission:

varteq.com

Admin access needed