Machine Learning Engineer - Computer Vision

Leverege is a dynamic and innovative software company at the forefront of the Internet of Things (IoT) and AI/ML space. As a Machine Learning Engineer at Leverege, you'll play a crucial role in developing and deploying machine learning systems on both edge and cloud platforms to address challenges for Fortune 500 companies around the world. We apply computer vision to numerous verticals, including manufacturing, retail, vehicle services, and more. Join our collaborative team and contribute to creating solutions that scale using the power of the Google Cloud Platform.

You must have 2-3 years of professional experience and excel in a fast-moving team environment, be highly organized, and have excellent problem solving and debugging skills. Experience required with Python, Enterprise Cloud ML services (i.e. Sagemaker, AzureML, Vertex AI), and open source AI/ML frameworks.

Responsibilities:

• You will take the lead in planning, designing, and running experiments, researching new algorithms, and will work closely with talented data scientists and engineers to put algorithms and models into practice to help solve challenging computer vision problems problems
• Architect, implement, and deliver Machine Learning projects from beginning to end. This includes understanding a business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities to the edge and cloud
• Use Deep Learning frameworks like PyTorch to build, train, optimize, validate, and deploy computer vision models
• Apply best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.) as well as scientific thinking (hypothesis testing, carefully tracking and ensuring repeatability of all experiments/jobs)
• Work on TB scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields

Requirements

• 2-3 years of professional experience in a relevant field.
• Proficiency in Python.
• Hands-on experience with ML frameworks such as TensorFlow and PyTorch.
• Familiarity with Enterprise Cloud Services (e.g. GCP, AWS).
• Highly organized with a strong grasp of industry best practices.
• Hands-on experience with state-of-the-art computer vision models (object detection, classification, segmentation)

Preferred Qualifications:

• Demonstrated experience in solving problems using Computer Vision.
• Solid understanding of cloud products, particularly AWS, GCP, or Azure.
• Academic research background in the applied domain of expertise.

Note: Leverege is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

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