About OCUS

In the digital age, images are a crucial driving force for online businesses, along with effective search and seamless payments.

While search and checkouts are already well served, scaling imagery operations for high volume, quality, and speed is still difficult, expensive and time-consuming.

That’s where OCUS comes in. As a visual-tech company, we provide an end-to-end solution that handle imagery lifecycle from real-world photography to AI-based visual moderation and editing.

Join us today and be a driving force behind the future of imagery!

Your mission

OCUS is seeking a highly experienced and skilled Senior Machine Learning Engineer with expertise in image processing.

You will collaborate with cross-functional teams, provide technical leadership, and mentor junior engineers. The ideal candidate has a strong background in computer vision, extensive experience in delivering computer vision projects, and possesses strong leadership and technical skills.

Reporting to our AI lead, the primary job missions include:

• Collaborate with cross-functional teams to gather requirements, understand business objectives, and translate them into technical specifications

• Design, develop, and implement machine learning models and algorithms to solve business problems

• Train, validate, and optimize machine learning models using state-of-the-art algorithms and techniques

• Stay up-to-date with the latest advancements in machine learning, deep learning, and related fields, and apply them to solve real-world problems.

Requirements:

• Master’s degree in AI, Engineering, Mathematics or related field

• Proven experience as a Machine Learning Engineer or a similar role, with a strong track record of developing and deploying machine learning models

• Solid understanding of machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning

• Proficiency in programming languages such as Python, R, or Java, with experience in machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with distributed computing frameworks (e.g., Spark) is a plus

• Strong problem-solving skills and the ability to think critically and analytically

• Strives to work in a fast-paced environment

Join our team and contribute to the development of cutting-edge machine learning solutions that will drive innovation and shape the future of our organization

• Our hiring process

  Here’s a glimpse into our hiring process:

  • First, a screening call with our hiring manager

  • Then a technical interview including a peer programming with a technical manager from Ocus

  • Call with our CEO

  • Reference check