Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer at Kayzen, you will be a key member of the Machine Learning Engineering team, bridging the gap between data science and ad systems engineering, and tackling the challenge of creating innovative solutions for petabyte-scale data models.

In Short

• Join a collaborative team focused on machine learning in production.
• Develop libraries and infrastructure to accelerate experimentation.
• Maintain and enhance model monitoring capabilities.
• Collaborate with data scientists to develop new models.
• Productionalize model creation pipelines.
• Drive innovation in machine learning capabilities.
• Promote software engineering best practices.
• Contribute to a culture of continuous learning.
• Work with big data-based models from conceptualization to deployment.
• Engage in a flexible work-from-home arrangement.

Requirements

• 5+ years of experience in deploying big data-based models.
• Proven experience with machine learning techniques and frameworks.
• Fluency in programming languages like Python and Java.
• Strong proficiency in SQL & NoSQL and big data processing.
• Bachelor's/Master's degree in a relevant field.
• Passion for working with data and uncovering insights.
• Strong analytical and problem-solving skills.
• Ability to translate business requirements into solutions.
• Excellent communication and stakeholder management skills.

Benefits

• Exceptional career growth and learning opportunities.
• Work with an experienced team of industry experts.
• Direct work experience with management.
• Flexible work-from-home arrangement.
• Home-office setup budget of $500.
• Annual learning and development budget of $1000.