Job Objective:
At Lytx, a leading provider of video telematics and fleet management solutions, roles in video analytics are integral to enhancing driver safety and fleet efficiency. These positions focus on developing and deploying machine learning and computer vision algorithms to analyze video data from commercial vehicles.
Key Responsibilities:
End-to-end development of deep learning/machine learning models, including prototyping, data engineering, model training, and evaluation.
Implementing, debugging, and refining DL/ML models to enhance performance.
Developing and optimizing models for deployment on cloud and edge platforms, ensuring low latency and high throughput.
Applying techniques like model quantization and pruning to improve efficiency.
Collaborating with cross-functional teams to integrate models into production systems.
Required Skills:
Programming Languages: Proficiency in Python and C++.
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, or similar frameworks.
Computer Vision: Strong understanding of image processing and computer vision techniques.
Cloud Platforms: Familiarity with AWS and scalable system architectures.
Database Management: Knowledge of SQL and NoSQL databases like DynamoDB.
Analytical Skills: Strong problem-solving abilities and analytical thinking.
Weekly Working Days:
Monday to Friday – 5 days/week
Time Schedule - 9:30 to 6:30