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Home›Jobs›KlearNow.ai›AI/ML Architect
KlearNow.ai

About KlearNow.ai

Streamlining customs clearance for global trade

🏢 Tech👥 51-200📅 Founded 2018📍 Santa Clara, California, United States

Key Highlights

  • First-of-its-kind customs clearance platform
  • Headquartered in Santa Clara, California
  • Team size of 51-200 employees
  • Focus on importers, freight forwarders, and customs brokers

KlearNow is a pioneering platform based in Santa Clara, California, designed specifically for importers, freight forwarders, and customs brokers. The company streamlines customs clearance and document management services, making it easier for businesses to navigate complex import processes. With a g...

🎁 Benefits

KlearNow offers competitive salaries, equity options, flexible PTO, and a remote work policy to support work-life balance. Employees also benefit from...

🌟 Culture

KlearNow fosters a culture of innovation and efficiency, encouraging employees to contribute ideas that enhance the platform. The company values trans...

🌐 Website💼 LinkedInAll 13 jobs →
KlearNow.ai

AI/ML Architect

KlearNow.ai • Santa Clara, CA

Posted 4 years ago🏛️ On-SiteSeniorAi architect📍 Santa clara💰 USD150,000 - USD180,000 / year
Apply Now →

Job Description

AI/ML Architect Job Description
 
We are currently seeking a highly skilled and visionary AI Architect to join our dynamic team. As an AI Architect, you will be instrumental in shaping the AI strategy and technical direction of our projects. You will work closely with our talented team of data scientists, engineers, and product managers to design and implement state-of-the-art AI solutions that meet the needs of our clients and propel our company forward.
 
Responsibilities
 
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.
 
Job 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 with10+yrs in designing and delivering enterprise grade AI-powered solutions, AI & ML products that drive customer and business value. Experience leading AI strategy for enterprise or large-scale platforms.
·      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 Python, or Java, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
·      Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.
·      Proficiency with LLMs, RAG and AI agents
·      Practical experience with deep learning projects
·      Strong understanding of cloud platforms (AWS, Azure, GCP) and their AI-related services.
·      Excellent analytical and problem-solving skills with the ability to think creatively and propose innovative AI solutions.
·      Previous experience in supply chain and logistics preferred.
·      Outstanding communication and leadership skills, enabling effective collaboration with cross-functional teams and stakeholders.
·      Certifications in cloud AI platforms or data engineering.
·      A portfolio of successful AI projects or publications in reputable conferences/journals is highly desirable.
 

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