Sr. ML Platform Engineer

Job Requirements:
Bachelor’s/Master’s degree in Engineering, Computer Science, or equivalent experience.
At least 10+ years of professional experience in building cloud-based applications, including ML platforms.
Extensive expertise in cloud platforms like AWS, Google Cloud Platform, or Azure (Azure preferred).
Proficiency in DevOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.
Strong understanding of ML workflows, model training, deployment processes, and data engineering pipelines.
Advanced programming skills, particularly in Python, with a focus on ML applications.
Experience in designing secure, scalable systems that adhere to regulatory compliance.
Demonstrated ability to collaborate with cross-functional teams, including data scientists and software engineers.