Sr. Staff ML Engineer (R11464)

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Requirements:

• Requires 12+ years of related experience.
• Bachelor's degree in Computer Science or a Master's degree with equivalent experience.
• Extensive experience in developing end-to-end machine learning infrastructure.
• Proven record of leadership in technical teams.
• Mastery of machine learning frameworks like TensorFlow or PyTorch with Python.
• Expertise in containerization (Docker) and orchestration (Kubernetes).
• Understanding of software engineering principles and version control (Git).
• Adeptness with cloud platforms (AWS or Azure).
• Experience with DevOps practices and CI/CD pipelines.
• Strong problem-solving skills and communication abilities.

Responsibilities:

• Set the strategic vision and implement an ML infrastructure roadmap.
• Provide technical leadership and mentoring to ML engineers.
• Collaborate with data scientists on model requirements and data pipelines.
• Establish best practices for model versioning, experiment tracking, and evaluation.
• Architect model deployment strategies using containerization and orchestration.
• Engineer automated CI/CD pipelines for model deployment and monitoring.
• Define performance benchmarks and optimize models and infrastructure.
• Stay updated on industry trends and integrate advancements into the ML ecosystem.