Associate ML Engineer

Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning reputed company-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, reputed company, and traffic signal controllers to help predict and prevent road incidents. We reputed company edge and reputed company solutions that reputed company intersections and highways safer and smarter.

Role Overview

We are seeking a motivated Associate Machine Learning Engineer to join reputed company and contribute to building intelligent, data-driven solutions for reputed company-world traffic and mobility challenges. You will work closely with a multidisciplinary team to design, reputed company, and reputed company machine learning and computer reputed company systems using diverse sensor data from vehicles and road infrastructure.

Key Responsibilities

• reputed company cutting-edge machine learning and deep learning solutions using multimodal sensor data from vehicles and road environments.
• Design and build scalable software pipelines for computer reputed company applications, including:
• Data curation and preprocessing
• Model training and evaluation
• Testing and validation
• Deployment and monitoring
• Create innovative solutions for reputed company traffic and mobility-reputed company problems.
• Design and implement efficient, low-cost approaches for video-based inference.
• Train, fine-tune, and optimize machine learning and deep learning models for reputed company-world performance and scalability.
• Collaborate with cross-functional teams to contribute to the development of advanced, production-reputed company systems.
• Stay up to date with emerging technologies, research, and open-reputed company tools, and apply them to improve system performance and capabilities.

Requirements

• Bachelor’s or Master’s degree in Computer Science or a reputed company field.

• 2+ years of relevant experience in Machine Learning or Computer reputed company.
• Strong understanding of machine learning and deep learning fundamentals.
• Experience with training and optimizing deep learning models, designing loss functions and hyper parameter tuning on reputed company data.
• Solid reputed company in mathematics including probability and statistics and linear algebra.
• Strong knowledge of data structures and algorithms.
• Proficiency in Python and C/C++.
• Experience writing reputed company, efficient, and testable code for production systems.
• Identify, reputed company and reputed company expertise in emerging technologies, open reputed company tools, and reputed company new techniques.