Senior Machine Learning Engineer

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative, fully remote team. This role is central to developing, deploying, and scaling machine learning models that drive significant business value. You will work with cutting-edge technologies, collaborate with talented data scientists and engineers, and play a key part in advancing our client's AI capabilities. If you are passionate about building robust ML systems and thrive in a remote-first, collaborative environment, this is an excellent opportunity to contribute to groundbreaking projects.

Key Responsibilities

• Design, build, and deploy production-ready machine learning models and pipelines.
• Collaborate with data scientists to operationalize research models and ensure their scalability and performance.
• Develop and maintain ML infrastructure, including training, inference, and monitoring systems.
• Optimize model performance, efficiency, and resource utilization.
• Write clean, well-documented, and testable code for ML systems.
• Stay current with advancements in machine learning and AI research and apply them to practical problems.

Requirements

• Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field, or equivalent experience.
• 5+ years of experience in machine learning engineering or a similar role.
• Strong programming skills in languages such as Python , with expertise in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with MLOps principles and tools for model deployment, monitoring, and management.
• Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker).
• Excellent problem-solving skills and the ability to work effectively in a remote team.

Benefits

• Competitive salary and performance-based bonuses.
• Fully remote position with flexible working hours.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and professional development opportunities.
• A dynamic and innovative work environment with a focus on AI advancements.