Lead Machine Learning Engineer

About the Role

Our client is seeking a highly experienced Lead Machine Learning Engineer to spearhead their remote AI initiatives. In this critical role, you will guide the design, development, and deployment of sophisticated machine learning systems that underpin our client's core products and services. You will lead a talented team of engineers, fostering a culture of innovation and technical excellence within a fully remote setting. This position is ideal for a visionary leader who is passionate about leveraging AI to solve challenging problems and drive significant business impact from anywhere in the world.

Key Responsibilities

• Lead the end-to-end development lifecycle of machine learning models, from ideation and data preparation to deployment and monitoring.
• Design and implement scalable, robust, and efficient ML pipelines and infrastructure.
• Mentor and manage a team of machine learning engineers, providing technical guidance and career development support.
• Collaborate with product managers and stakeholders to define ML strategy and roadmap.
• Stay abreast of the latest advancements in ML and AI, identifying opportunities for innovation and application within the company.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field, with a specialization in Machine Learning.
• Extensive experience (7+ years) in machine learning engineering, with a proven track record of leading successful ML projects.
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of MLOps principles, including CI/CD, model versioning, and monitoring.
• Excellent leadership, communication, and interpersonal skills, essential for effective remote team management.

Benefits

• Highly competitive salary and equity options.
• Fully remote work environment with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for courses, conferences, and certifications.
• Opportunity to work on challenging AI problems with a talented, distributed team.