Do you want to make a global impact with your development skills? And do you want to actively contribute to the further development of our platform and services, creating opportunities for both the organization and yourself? Then this might be the job for you! Read more below or apply via the “apply for this job” button!

YOUR ROLE AS SENIOR AI ENGINEER

You will be working on simplifying a complex business, turning it into an intuitive and worldwide scalable product that enables companies to manage logistics in a more time and cost-efficient way. You will leverage your expertise in Machine Learning and Generative AI to architect and build the intelligent backend of our fast-growing shipping platform. Together with the team, you will design and deploy new AI-driven functionalities, taking responsibility for the technical future and intelligence of the platform. Your opinion and ideas matter at Shypple. You will focus on building AI solutions, defining and maintaining our LLM & ML models and data pipelines, and ensuring the high performance and responsiveness required for real-time decision-making. At our company, your vision for applying AI to solve real-world logistical challenges will be crucial to our success.

YOUR RESPONSIBILITIES

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• Design and architect end-to-end AI solutions, ensuring scalability, reliability, and seamless integration with our existing technology stack.

• Lead the development, training, and fine-tuning of advanced AI models, including Large Language Models (LLMs), computer vision, and NLP solutions.
• Build and manage robust and scalable data pipelines, ensuring the high-quality data needed to power our AI initiatives.
• Implement and champion LLMOps/MLOps best practices for the automated deployment, monitoring, and continuous improvement of models in production.
• Optimize the performance of AI models for speed, accuracy, and resource efficiency.
• Provide technical leadership and mentorship to fellow engineers, fostering a culture of excellence and innovation through code reviews and design discussions.
• Collaborate closely with product managers, engineers and business stakeholders to translate complex requirements into tangible, high-impact AI solutions.
• Stay at the forefront of the AI landscape by researching and applying cutting-edge techniques and technologies to solve real-world challenges.