Machine Learning Engineer

• About The Role
• - Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics.
• - Apply your expertise in statistical modeling and machine learning to perform deep data analysis, guide crucial feature selection, and identify opportunities for product improvement.
• - Own the full ML lifecycle, from breaking down discrete steps of a pipeline (e.g., with a DAG) to analyzing model implementations and improving their robustness in the wild.
• - Implement and manage robust model observability, tuning, and optimization processes to ensure sustained performance and accuracy post-deployment.
• - Develop and maintain data pipelines to process and prepare data for model training and evaluation.
• - Design and conduct A/B tests to evaluate model performance and its impact on key business metrics.
• - Collaborate closely with product managers and engineers to define problems and deliver effective AI-driven solutions.
• - Mentor other team members, champion best practices in machine learning engineering, and stay current with the latest advancements in the field.
• This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

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