Veho is hiring a
Senior Machine Learning Engineer

Summary

The job is for a Senior Machine Learning Engineer in Veho's Driver Telemetry Team, responsible for developing and deploying machine learning models to improve delivery operations. The role requires a relevant degree, at least 5 years of experience in machine learning, proficiency in using cloud computing platforms, and demonstrated expertise in MLOps practices.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, or a related field
• Minimum of 5 years of experience in machine learning, data science, or a related field
• Demonstrated proficiency in commonly used machine learning frameworks and libraries
• Solid experience in MLOps practices, including automation, monitoring, and maintaining machine learning models in production environments
• Proven track record in developing advanced machine learning models, preferably with a specialization in handling and analyzing geo-spatial or 'real-time' event data
• Proficiency in using cloud computing platforms such as AWS, GCP, Azure, or similar for deploying and scaling machine learning models

Responsibilities

• Developing data pipelines that effectively handle and process geo-spatial and event data
• Building reliable, efficient, and scalable models for our ML capabilities
• Evaluating the impact and effectiveness of models in production systems
• Developing and implementing advanced machine learning algorithms to analyze driver behavior, predict potential risks, and enhance operational efficiency
• Continuously exploring advancements in geo-spatial (and other) machine learning technologies and their potential applications in enhancing telemetry systems
• Helping shape roadmaps by integrating business context and Data Science

Preferred Qualifications

• PhD in relevant field
• Experience in the logistics, delivery, or transportation industry, with a focus on geo-spatial analytics
• Demonstrated experience in leading innovative projects in route optimization, driver behavior modeling, or similar fields

Benefits

• Generous ownership package
• Casual work environment
• Diverse and inclusive culture
• Electric atmosphere for professional development
• Opportunity to do the work of their lifetime
• Commitment to creating a diverse team and an environment that provides everyone with the opportunity to do the work of their lifetime