Staff Software ML Engineer - R12079

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Requirements:

• Requires 10+ years of related experience with a Bachelor's degree in Computer Science, or a Master's degree with equivalent education and experience.
• Extensive experience developing end-to-end machine learning infrastructure for large-scale applications.
• Proven leadership skills, guiding teams to achieve innovation.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, or equivalent.
• Deep knowledge in containerization (Docker) and orchestration (Kubernetes).
• Comprehensive understanding of software engineering principles and development workflows.
• Familiarity with cloud platforms such as AWS or Azure.
• Experience in integrating DevOps practices and CI/CD pipelines.
• Strong problem-solving skills and effective communication abilities.

Responsibilities:

• Lead the implementation of a cutting-edge ML infrastructure, ensuring adherence to best practices.
• Provide technical leadership and mentoring to machine learning engineers.
• Take ownership of projects, ensuring successful delivery through effective project management.
• Collaborate with data scientists to optimize data pipelines.
• Establish best practices for model versioning and evaluation.
• Architect model deployment strategies using Docker and Kubernetes.
• Engineer automated CI/CD pipelines for model deployment.
• Define performance benchmarks and optimize models and infrastructure.
• Stay updated on industry trends and integrate advancements into the ML ecosystem.