<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong><u>Company Overview</u></strong></p><p>Our client is an innovative pioneer in the industrial automation sector, dedicated to shaping the future of smart manufacturing and logistics. By combining intelligent computer vision, artificial intelligence, and robotics solutions with cutting-edge data analytics, they develop resilient, flexible, and seamlessly integrated automation systems that drastically reduce operational complexity.</p><p>For nearly a decade, the company has partnered with leading global players across the <strong>aviation, automotive, and logistics industries</strong>. Their proprietary software solutions leverage advanced computer vision, 3D reconstruction, and Large Language Model (LLM) technologies to optimize digital production workflows and quality inspection. A key pillar of their technical roadmap involves using real-time camera streams for high-precision 3D reconstruction and digital twin modelling.</p><p><br/></p><p><strong><u>The Role</u></strong></p><p>As an <strong>AI Engineer</strong>, the successful candidate will work on developing robust perception and AI systems for industrial and robotic applications. Operating at the intersection of cutting-edge research and production engineering, this individual will independently train models, translate state-of-the-art research papers into practical prototypes, and scale them into production-ready systems.</p><p><br/></p><p>The client is seeking a broadly skilled professional across multiple AI disciplines who possesses deep, specialized expertise in at least one core area (e.g., Computer Vision, Deep Learning, or NLP).</p><p><br/></p><p><strong><u>Key Responsibilities</u></strong></p><ul><li><strong>Prototyping &amp; Production:</strong> Drive the prototypical implementation of state-of-the-art research approaches and successfully transfer them into high-performing, production-ready solutions.</li><li><strong>Computer Vision Development:</strong> Apply, refine, and further develop both classical and deep learning–based computer vision methods.</li><li><strong>Model Training:</strong> Independently implement, train, tune, and debug complex models utilizing PyTorch.</li><li><strong>T-Shaped Expansion:</strong> Contribute NLP and LLM expertise in addition to core computer vision tasks to foster a cross-functional technical profile.</li><li><strong>Hardware Integration:</strong> Work directly with real industrial camera systems (e.g., Lucid or comparable hardware) to capture and analyze physical environments.</li><li><strong>DevOps Workflows:</strong> Utilize Docker containers to ensure seamless development and deployment workflows.</li></ul><p><br/></p><p><strong><u>Requirements &amp; Qualifications</u></strong></p><ul><li><strong>Experience:</strong> 3+ years of relevant professional experience, or equivalent intensive project experience (such as a Master’s thesis completed within a deep learning–focused environment).</li><li><strong>Deep Learning Expertise:</strong> A strong foundational background in classical and deep learning-based computer vision, with excellent, hands-on proficiency in PyTorch.</li><li><strong>Research-to-Production Pipeline:</strong> A proven track record of translating theoretical research into functional, real-world prototypes.</li><li><strong>Technical Nice-to-Haves:</strong> Prior experience working with industrial camera systems is a distinct plus. Exposure to NLP and Large Language Models (LLMs) is highly advantageous.</li><li><strong>Innovation Mindset:</strong> A strong passion for applied research, with the motivation to stay consistently updated on the latest AI literature and state-of-the-art developments.</li><li><strong>Engineering Best Practices:</strong> A responsible and transparent approach to using AI development tools leveraging them to accelerate coding speed while maintaining strict ownership of the underlying system logic and architecture.</li><li><strong>Soft Skills:</strong> A proactive mindset, exceptionally high quality standards, and strong communication skills necessary for effective team collaboration.</li></ul><p><br/></p><p><strong><u>Benefits &amp; What Is Offered</u></strong></p><ul><li><strong>Impactful Work:</strong> The opportunity to build cutting-edge AI systems for tangible, real-world industrial and robotic applications.</li><li><strong>Ownership:</strong> A high level of autonomy and technical responsibility within deeply challenging projects.</li><li><strong>Advanced Tech Stack:</strong> Direct exposure to state-of-the-art technologies across Computer Vision, LLMs, Graph Systems, and Agentic AI.</li><li><strong>Infrastructure:</strong> Access to modern hardware and high-performance computing infrastructure optimized for heavy deep learning tasks.</li><li><strong>Culture &amp; Flexibility:</strong> Flexible working hours with hybrid work options, flat hierarchies, rapid decision-making processes, and an innovation-driven team environment.</li></ul> </div>