Staff Machine Learning Engineer

Overview

Staff Machine Learning Engineer technical leader responsible for designing, building, and scaling production-grade AI systems with measurable business impact.

What you'll do

• Design and implement machine learning algorithms and models for business applications.
• Conduct research and run experiments to advance machine learning capabilities.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Analyze large datasets to extract insights and support data-driven decisions.
• Develop scalable machine learning pipelines and systems.
• Ensure AI system quality and performance through testing and validation.
• Provide technical guidance and mentoring to junior engineers.

What you'll need

• Bachelor’s degree in a related field.
• 9–12 years of relevant experience.
• Proven experience in ML model development and deployment.
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
• Proficiency in Python, R, or Java.
• Experience with ML frameworks/libraries including TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms and scalable computing resources.

Details

• English communication: fluent written and oral communication in English.
• Work mode indicated: hybrid work opportunities.