Machine Learning Engineer

• Architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment
• Drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements
• Lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices
• Collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production
• Optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored
• Champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers
• Automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

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Senior Machine Learning Engineer

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