Machine Learning Engineer


VisionX works with world-leading brands, Fortune 1000 as their innovation partner, providing product strategy and custom application development leveraging agile methodologies, technology accelerators, and by creating Intellectual Property.
VisionX has been listed in the Top 10 Most Innovative Companies of 2020 by Fast Company – ranked alongside the likes of Microsoft & Snap Inc.
We develop cutting-edge software products integrating computer vision, 3D modeling, AR, VR, decision sciences, and IoT addressing a wide variety of use cases across different industries.

Your Role

As a Machine Learning Engineer specializing in computer vision, you will be at the forefront of transforming raw visual data into meaningful insights. You will leverage your expertise to design, develop, and optimize machine learning models that enable our products to understand and interpret images and videos.
This role is pivotal in shaping our computer vision strategy, and you will collaborate closely with cross-functional teams to translate complex business challenges into actionable solutions. From enhancing object detection accuracy to advancing image segmentation techniques, you will be instrumental in driving advancements that contribute to the core of our technology.


  • Collaborate with cross-functional teams to identify and define computer vision projects and objectives.
  • Design, develop, and implement advanced machine learning models and algorithms for image and video analysis, object detection, image segmentation, and more.
  • Pre-process and clean large-scale datasets to ensure high-quality training data for machine learning models.
  • Optimize and fine-tune machine learning models for performance, accuracy, and scalability.
  • Stay updated with the latest advancements in machine learning and computer vision and incorporate relevant technologies into our projects.
  • Provide technical expertise and guidance to the team and contribute to the overall product development strategy.
  • Collaborate closely with product managers, engineers, and other stakeholders to integrate machine learning solutions into products and services.
  • Communicate complex technical concepts to non-technical audiences, making the value of machine learning initiatives clear.

What you Need

  • Bachelor’s or master’s degree in computer science, or a related field.
  • Minimum of 3 years of industry experience as a Machine Learning Engineer, with a focus on computer vision.
  • Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Proven experience in designing and implementing machine learning models for computer vision tasks such as image classification, object detection, image segmentation, etc.
  • Solid programming skills in languages such as Python, C++, or Java.
  • Familiarity with image processing techniques, feature extraction, and data augmentation.
  • Experience working with large datasets and handling data preprocessing challenges.
  • Demonstrated ability to optimize and fine-tune machine learning models for real-world applications.
  • Strong problem-solving skills and a creative approach to algorithm development.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Why choose us

We are a global team of hustlers who challenge status-quo to build something great and meaningful for the customers we serve. We strongly believe that our product innovation, speed to service/support, and partnership mindset sets us apart from the fragmented competition and available legacy systems. Our leadership, advisors, and investors have extensive experience in building, supporting, and scaling tech companies in logistics, retail, CRM, media, and consulting. We have got all it takes to build an enterprise of the future.
We are an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected status.