AI Architect

About the role

KlearNow.AI is on a mission to futurize global trade. Our patented AI and machine learning platform digitizes and contextualizes unstructured trade documents to unlock real-time shipment visibility, drive smart analytics, and provide critical business intelligence-without the hassle of complex integrations. We empower supply chains to move faster, work smarter, and make data-driven decisions with confidence. With operations in the U.S., Canada, U.K., Spain, and the Netherlands-and aggressive growth plans underway-we're scaling a global platform for the future of logistics. We achieve our goals by assembling a team of the best talents. As we expand, it's crucial to maintain and strengthen our culture, which places a high value on our people and teams. Our collective growth and triumphs are intrinsically linked to the success and well-being of every team member OUR VISION To empower people and optimize processes with AI-powered clarity. YOUR MISSION We're building a team of bold thinkers, problem solvers, and storytellers. As part of our high-energy, inclusive workplace, you'll challenge the status quo of traditional supply chains and help shape a more transparent, intelligent, and efficient world of trade. Whether you're a product innovator, logistics expert, or marketing storyteller-your work at KlearNow.AI will make a measurable impact. Why Klearnow.ai Global Impact: Be part of a platform live in five countries and expanding rapidly. Fast-Growing SaaS Company: Work in an agile environment with enterprise backing. Cutting-Edge Tech: AI-powered customs clearance, freight visibility, document automation, and drayage intelligence-all in one. People-First Culture: We invest in our team's growth and well-being. Make Your Mark: Shape the future of trade with your ideas and energy.

Responsibilities

• Position: AI Architect
• Company Overview:
• Job Overview:
• AI Strategy and Solution Design:
• Collaborate with clients and internal stakeholders to understand their business objectives and pain points and translate them into AI-driven strategies and solutions.
• Lead the design and architecture of end-to-end AI systems, including data collection, preprocessing, feature engineering, model selection, training, and deployment.
• Stay informed about the latest advancements in AI and machine learning to ensure our solutions remain at the cutting edge.
• Technical Leadership:
• Provide technical expertise and guidance to our AI development team, including data scientists, machine learning engineers, and software developers.
• Lead by example and promote best practices in AI development, ensuring code quality, scalability, and maintainability of AI systems.
• Foster a culture of innovation, continuous learning, and knowledge sharing within the AI team.
• Model Development and Evaluation:
• Oversee the development and evaluation of machine learning models to ensure they meet the highest standards of accuracy and performance.
• Implement robust testing and validation procedures to identify and address potential issues early in the development process.
• Infrastructure and Deployment:
• Collaborate with our DevOps and IT teams to design and maintain scalable AI infrastructure for efficient model training, testing, and deployment.
• Ensure smooth integration of AI models into production systems and monitor their performance in real-world scenarios.
• Data Governance and Ethics:
• Champion data governance and privacy best practices to ensure ethical and responsible AI development.
• Collaborate with legal and compliance teams to navigate potential legal and ethical implications related to AI projects.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.
• Proven track record (10 years) in designing and delivering AI-powered solutions in building at-scale, AI & ML products that drive customer and business value.
• In-depth knowledge of various AI and machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning.
• Proficiency in programming languages like

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