About Us
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
Develop innovative AI solutions for challenging business problems.
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Build backend systems that interact with other microservices.
Train and optimize machine learning models.
Engineer machine intelligence systems and infrastructure for real-world production use at scale.
Explore data features and manipulate data with SQL and scripts.
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Scikit-learn)
Should be able to understand the problem statement and be able to justify the usage of AI/ML as a solution
Be able to quickly prototype and provide results
Be able to understand requirements and fine tune them to provide results for concrete problems
Key Qualifications
Strong coding experience in Python and working with related libraries (NumPy/Pandas/matplotlib).
Familiarity with machine learning frameworks (Keras/PyTorch/Tensorflow) and relevant libraries.
Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.
Practical experience with deep learning projects is highly valued.
Ability to improve the accuracy, runtime, scalability and reliability of machine intelligence systems.
Strong in understanding underlying math and algorithms.
Passion for continuing to learn state-of-the-art techniques in ML/Data science.
Join our vibrant and forward-thinking team at KlearNow.ai as we continue to push the boundaries of AI/ML technology. We offer a competitive salary, flexible work arrangements, and ample opportunities for professional growth.
We are committed to diversity, equality and inclusion.
If you are passionate about shaping the future of logistics and supply chain and making a difference, we invite you to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
