Lead Engineer, AI and Machine Learning

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Requirements:

• University or advanced degree in engineering, computer science, mathematics, or a related field.
• 5+ years of experience developing and deploying machine learning systems into production.
• 8+ years of experience in Software engineering space.
• Experience with relational SQL and NoSQL databases.
• Knowledge of cloud platforms like Azure or AWS.
• Hands-on experience with Hadoop, Spark, and Databricks.
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Knowledge of data pipeline and workflow management tools.
• Expertise in software engineering methodologies.

Responsibilities:

• Responsible for leading and executing ML operationalization across the enterprise.
• Architect, build, maintain, and improve end-to-end ML systems.
• Implement end-to-end solutions for batch and real-time algorithms, along with monitoring and performance testing.
• Collaborate with Product, Engineering, Data scientists, and Business teams on planning new capabilities.
• Establish scalable, efficient, automated processes for data analyses and model implementation.
• Write organized software for iterative product shipping.
• Participate in code reviews and mentor team members.