Remote Senior Machine Learning Engineer

Description:

• Veho is a post-purchase experience company focused on enhancing e-commerce logistics.
• The Senior Machine Learning Engineer will be part of the Driver Telemetry Team, developing and deploying machine learning models to improve delivery operations.
• The role involves collaboration with data scientists, engineers, and product managers to create solutions for driver behavior analysis and route optimization using geo-spatial insights.
• Responsibilities include developing data pipelines for geo-spatial and event data, building scalable ML models, evaluating model effectiveness, and implementing advanced algorithms for driver behavior analysis.
• The engineer will explore advancements in machine learning technologies and help shape roadmaps by integrating business context and data science.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field is required.
• A minimum of 5 years of experience in machine learning, data science, or a related field is necessary.
• Proficiency in commonly used machine learning frameworks and libraries is essential.
• Solid experience in MLOps practices, including automation and monitoring of machine learning models in production, is required.
• A proven track record in developing advanced machine learning models, especially with geo-spatial or real-time event data, is needed.
• Proficiency in cloud computing platforms such as AWS, GCP, or Azure for deploying machine learning models is required.
• Experience working with non-technical stakeholders to address business problems is necessary.

Benefits:

• Veho offers a generous ownership package to its employees.
• The company promotes a casual work environment and a diverse, inclusive culture.
• Employees are provided with opportunities for professional development in an electric atmosphere.
• Veho is committed to creating a diverse team and an environment that allows everyone to do their best work.
• The company values empathy and respect among employees, drivers, and applicants, fostering a welcoming workplace.