AI Architect

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.

Position: AI Architect Company Overview: Klearnow is a leading technology company at the forefront of the AI revolution.

We are dedicated to harnessing the power of artificial intelligence to drive innovation, enhance user experiences, and solve complex challenges across various industries.

Our team is composed of passionate individuals who strive to create cutting-edge AI solutions that make a positive impact on the world.

Job Overview: 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.

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. 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 .