Lead Machine Learning Engineer

About the Role

Our client is seeking a dynamic Lead Machine Learning Engineer to spearhead the development and deployment of advanced machine learning systems. This fully remote position is a critical role within our innovative tech team, focusing on building scalable ML pipelines and delivering AI-powered features. You will have the opportunity to guide technical strategy, mentor a talented team, and work on challenging problems that require creative solutions. This role offers the chance to make a substantial impact on our client's product offerings, leveraging your expertise in a collaborative and forward-thinking remote environment. Your work will directly influence the direction of our AI capabilities.

Key Responsibilities

• Lead the design, development, and deployment of production-ready machine learning models and systems.
• Architect and implement robust, scalable ML pipelines for data processing, training, and inference.
• Collaborate with data scientists and software engineers to integrate ML models into existing products and services.
• Mentor and guide junior machine learning engineers, fostering best practices and technical excellence.
• Optimize ML models for performance, efficiency, and scalability in cloud environments.

Requirements

• Master's or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of professional experience in machine learning engineering and software development.
• Proven experience in deploying and managing ML models in production environments using cloud platforms (e.g., AWS, Azure, GCP).
• Strong proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies and distributed computing frameworks.

Benefits

• Competitive salary and equity options.
• Fully remote work with flexible scheduling.
• Comprehensive health, dental, and vision benefits.
• Generous professional development budget and conference attendance.
• Opportunity to lead high-impact ML projects in a fast-paced startup environment.