Machine Learning Engineer at Lytx

Short Description:

The Machine Learning Engineer position at Lytx, India, involves contributing to the development and deployment of deep learning models for monitoring driver behavior and environmental conditions. The role encompasses end-to-end model development, implementation, debugging, and optimization for improved accuracy and reduced latency. The ideal candidate should hold a Bachelor's/MS degree in relevant fields, possess hands-on experience with deep learning frameworks like PyTorch or TensorFlow, and exhibit strong analytical and problem-solving skills. Lytx, committed to innovation and an inclusive work environment, seeks individuals dedicated to making a positive impact in the Video Safety and Telematics industry. The company is an equal opportunity employer with a focus on diversity and a drug-free workplace.

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Position: Machine Learning Engineer

Location: India

Job Type: Full-time

Job Requisition ID: R-2951

Why Choose Us?:

As a Machine Learning Engineer, you'll be a valuable member of our Applied Machine Learning Team based in India. Our team focuses on creating innovative machine learning and computer vision algorithms to monitor and evaluate driver behavior and environmental conditions. This enables us to identify potential risks and enhance safety for our clients. Your role will involve contributing to all aspects of the development and deployment cycle of deep learning/machine learning models. By improving accuracy, throughput, and reducing latency, you will play a crucial part in establishing our position as a leader in the Video Safety and Telematics industry. If this aligns with your skills and goals, we encourage you to apply!

Responsibilities:

• Engage in end-to-end development of deep learning models, including prototyping, formulation, data engineering, and model training.
• Implement, debug, and enhance deep learning models.
• Develop and optimize cloud/Edge deployment strategies for deep learning models.
• Optimize deep learning models through techniques such as quantization and model pruning.
• Perform other duties as assigned.

Qualifications:

• Bachelor's/MS degree in Computer Science, Electrical Engineering, Electronics and Communication, or related fields.
• Strong understanding of core machine learning concepts, with hands-on experience in at least two deep learning frameworks like PyTorch or TensorFlow.
• Solid analytical and problem-solving skills, with a fundamental knowledge of relevant mathematics, probability, and algorithms.
• Proficient in at least one low-level programming language like C/C++.
• Ability to work effectively in a collaborative, fast-paced team environment.

Innovation Lives Here:

At Lytx, we are driven by cutting-edge technology and a team of passionate individuals. We are committed to making a positive impact in the world, and we invite like-minded professionals to join us. Together, we strive to save lives on our roadways.

Experience the satisfaction of being part of an inclusive, collaborative team. We are dedicated to providing an environment where everyone feels valued, included, and supported to do their best work and share their voices.

Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We are committed to attracting, retaining, and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.

About Lytx:

Lytx® is a leading provider of video telematics, analytics, safety, and productivity solutions for commercial and public sector fleets. Our Driver Safety Program, powered by the DriveCam® Event Recorder, is proven to save lives and reduce risk. Leveraging video technology, we help clients manage their operations efficiently, improve driver behavior, and enhance overall fleet safety. Our services span driver safety, risk detection, fleet tracking, compliance, and fuel management. With the world's largest driving database, proprietary machine vision, and artificial intelligence technology, we protect and connect thousands of fleets and over one million drivers worldwide. For more information, visit www.lytx.com or follow @lytx on Twitter, LinkedIn, Facebook, or YouTube.

Please click here to apply.