Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced and visionary Lead Machine Learning Engineer to spearhead their AI initiatives. This is a fully remote position, offering the opportunity to build and scale sophisticated machine learning systems from the ground up. You will lead a talented team of engineers, driving technical excellence and innovation in developing AI-powered products that solve complex real-world problems. This role offers significant autonomy and the chance to make a substantial impact on the company's technological trajectory, fostering a culture of innovation and collaboration within a distributed team environment.

Key Responsibilities

• Lead the design, development, and deployment of scalable machine learning pipelines and infrastructure.
• Mentor and guide a team of machine learning engineers, fostering best practices and technical growth.
• Collaborate with data scientists and product managers to translate business needs into robust ML solutions.
• Implement and optimize ML models for performance, reliability, and efficiency in production.
• Stay abreast of the latest advancements in ML and AI, identifying opportunities for innovation.

Requirements

• Master's or PhD in Computer Science, Engineering, or a related field, with a focus on Machine Learning.
• 5+ years of professional experience in machine learning engineering or a similar role.
• Proven experience leading engineering teams and managing complex projects.
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of MLOps principles, CI/CD, and cloud platforms (AWS, Azure, GCP).

Benefits

• Competitive salary and annual bonus structure.
• Fully remote working environment with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous stock options package.
• Annual budget for professional development, including conferences and training.