AI Architect

Position: AI Architect

Responsibilities:

1. 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. 2. 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. 3. 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. 4. 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. 5. 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 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. - 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. - A portfolio of successful AI projects or publications in reputable conferences/journals is highly desirable. Join our vibrant and forward-thinking team at KlearNow as we continue to push the boundaries of AI technology. We offer a competitive salary, flexible work arrangements, and ample opportunities for professional growth. If you are passionate about shaping the future of AI and making a difference, we invite you to apply.