This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum.
The Role
We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React. If you're passionate about driving innovation and enjoy working collaboratively within product teams, this role offers an exciting opportunity to contribute to impactful projects in a dynamic environment.
As a Machine Learning Engineer supporting POD teams, you will play a pivotal role in providing technical expertise and guidance to ensure the successful development and delivery of machine learning and AI solutions. Your responsibilities will include collaborating closely with product teams, contributing your expertise in machine learning technologies, and leveraging your full-stack capabilities to support the implementation of frontend components using React.
What You’ll Do
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Technical Support: Provide technical expertise and support to POD teams in the development and implementation of machine learning and AI solutions, leveraging Azure, Databricks, and MLflow.
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Solution Architecture: Collaborate with product teams to design scalable and efficient solutions, ensuring alignment with architectural best practices and business requirements.
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Model Development Assistance: Assist in the development and optimization of machine learning algorithms and models, providing guidance on best practices and methodologies.
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Data Pipeline Support: Support the design and implementation of data pipelines for data ingestion, processing, and feature engineering, ensuring data quality and integrity.
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Model Deployment Assistance: Assist in the deployment of machine learning models into production environments, implementing monitoring and logging mechanisms for performance tracking.
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Frontend Development Support: Collaborate with frontend developers to support the implementation of responsive and user-friendly web interfaces using React, integrating machine learning capabilities seamlessly into frontend applications.
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Collaboration and Communication: Work closely with product teams, data scientists, software engineers, and business stakeholders to understand requirements, provide technical guidance, and ensure successful project delivery.
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Documentation and Knowledge Sharing: Document technical solutions, processes, and best practices, and share knowledge with team members to facilitate learning and collaboration.
