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, allowing you to contribute from anywhere while collaborating with a dynamic and globally distributed team. You will be responsible for architecting, developing, and deploying robust machine learning systems that drive innovation and provide critical insights. This role is ideal for a leader passionate about leveraging AI to solve complex problems and eager to mentor a high-performing team, fostering a culture of excellence and continuous improvement in a remote-first environment.

Key Responsibilities

• Lead the design, development, and implementation of scalable machine learning pipelines and infrastructure.
• Architect and build production-grade ML models for various applications, ensuring robustness and efficiency.
• Collaborate with data scientists and software engineers to integrate ML models into existing products and services.
• Provide technical leadership and mentorship to a team of ML engineers, fostering best practices and skill development.
• Monitor, optimize, and maintain ML systems in production, ensuring high availability and performance.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field, with a specialization in Machine Learning.
• Extensive experience (5+ years) in developing and deploying machine learning models in production.
• Proficiency in programming languages like Python, and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of software engineering best practices, including CI/CD, testing, and version control.
• Demonstrated leadership experience, with the ability to guide and mentor technical teams effectively in a remote setting.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive remote work infrastructure support.
• Flexible working hours and unlimited PTO policy.
• Full health, dental, and vision insurance coverage for you and your dependents.
• Generous budget for professional development, including online courses and conferences.