ML Engineer

We’re looking for a Machine Learning Engineer who thrives at the intersection of production-grade ML systems and scalable cloud infrastructure.

About the Project

This project focuses on building and optimizing machine learning systems that power real-world production applications, with a strong emphasis on recommender systems and deep learning models. As part of a broader initiative, the team is developing scalable ML pipelines and infrastructure that can be reused across multiple products and domains.

In this role, you will work closely with the product and engineering teams to design, deploy, and improve ML models and pipelines, ensuring they are reliable, efficient, and deliver measurable business impact.

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

Why join us?

• ️Our people matter, work-life balance is important at VARTEQ
• Fast-learning environment, entrepreneurial mindset, and strong team spirit
• Competitive salary package