Machine Learning Engineer - Computer Vision & Generative AI

About the Company

Our client is a technology-driven enterprise focused on creating intelligent software solutions by integrating artificial intelligence, automation, and advanced data processing to tackle complex business problems at scale.

The company operates at the confluence of machine learning, software development, and product innovation, dedicating significant resources to next-generation AI technologies and expanding their engineering team to support platform and service advancements.

Role Overview

This position is tailored for a Machine Learning Engineer passionate about transitioning state-of-the-art AI research into production-ready applications, particularly in computer vision and generative AI domains. The role offers the chance to engage with technically demanding projects that produce tangible impacts in real-world scenarios.

Key Responsibilities

• Develop, train, and fine-tune machine learning models focused on computer vision and generative AI.
• Implement and scale machine learning solutions for deployment in production environments.
• Create automation processes aimed at minimizing manual effort and enhancing operational efficiency.
• Track and improve model performance, ensuring reliability and precision.
• Collaborate extensively with engineering, product, and operations teams to deliver functional AI solutions.
• Investigate new technologies and swiftly assess their business application potential.
• Support the enhancement of production-level machine learning infrastructure and workflows.

Preferred Qualifications

• Extensive practical experience in machine learning and computer vision.
• Proficient in Python and experienced with frameworks such as PyTorch and TensorFlow.
• Hands-on knowledge of generative AI technologies including diffusion models and GANs.
• Familiarity with ML deployment strategies, scalability challenges, performance tuning, and production systems.
• Experience working with Docker and cloud infrastructure.
• Understanding of creative AI tools and workflows related to digital visual content.
• Background in image-centric products, digital content platforms, or analogous sectors.
• Strong analytical skills combined with a pragmatic and solution-focused approach.
• Excellent communication skills suited for an international and multidisciplinary team environment.

Benefits

• Opportunity to work on pioneering AI and machine learning projects.
• A collaborative and forward-thinking workplace culture.
• Flexible hybrid work arrangements.
• Exposure to complex technical challenges with significant real-world results.
• Support for professional growth including training and continued education.
• A contemporary office environment enriched with a strong team spirit and regular social events.

Additional Information

Note: Due to the high volume of applications, individual responses may not be possible for all candidates; shortlisted applicants will be contacted directly.