We invite you to join a project for one of our clients, a software company that specializes in enterprise asset management solutions, helping businesses streamline maintenance, operations, and safety processes to optimize asset performance, reduce downtime, and improve efficiency.

We are seeking talented and innovative Applied NLP AI Engineers with extensive experience in deploying production-ready applications leveraging state-of-the-art AI models for tasks such as multimodal information extraction, information enrichment, and knowledge management. In this role, you will have the opportunity to design, develop, and deploy advanced AI and machine learning systems to solve real-world challenges. If you are passionate about creating AI solutions that push the boundaries of technology and shape the future of intelligent systems, we would love to hear from you!

About the project: An AI large-scale document processing pipeline, capable of handling millions of documents monthly, is to be implemented to support multimodal document categorization, entity extraction, data enrichment and knowledge management. This is a green field project!

• Lead the development of advanced AI and machine learning solutions using Natural Language Processing including classical methods, deep learning, and large language models
• Architect and implement production-ready applications that leverage cutting-edge technologies to deliver impactful AI products
• Engage directly with customers to gather requirements, understand their business needs, and ideate on potential AI solutions
• Lead customer meetings to present ideas, gather feedback, and iteratively refine AI solutions based on real-world use cases and feedback
• Stay at the forefront of AI research by exploring and experimenting with new approaches
• Cooperate closely with the Software Engineer team to build effective AI-based products

• Over 5 years of experience working on applied AI projects and exceptional knowledge
• In-depth knowledge of natural language processing, deep learning, and large language models
• Exceptional communication skills as it’s a customer-facing role
• Proven ability to rapidly prototype and iterate on innovative solutions
• Proficiency in the AI Python ecosystem, including frameworks such as HuggingFace, PyTorch, TensorFlow, Pandas, Scipy, and others
• Previous hands-on experience with building production-ready AI applications on AWS, specifically AWS SageMaker
• A self-starter with the ability to work independently while also guiding and mentoring AI teams

Job no. 241105-WU5OD