Job Summary:

We are seeking a highly motivated and experienced AI Solutions Architect to join our growing AI team at Wakapi. As an AI Solutions Architect, you will play a key role in designing, developing, and deploying innovative AI solutions that drive business value. You will work closely with cross-functional teams to identify opportunities for AI application and translate them into tangible results.

Key Responsibilities:

• Design and Develop AI Solutions: Utilize cutting-edge technologies, including machine learning, deep learning, and natural language processing, to design and develop innovative AI solutions that meet business needs.
• Lead Complex AI Projects: Lead and execute complex AI projects from problem definition and architecture design to model training, deployment, and evaluation.
• Build and Maintain AI Infrastructure: Build and maintain robust and scalable AI infrastructure to support production-grade applications.
• Implement Best Practices: Implement best practices for data management, model development, and testing to ensure high-quality and reliable solutions.
• Monitor and Evaluate AI Models: Monitor and evaluate AI models for performance, accuracy, and bias.
• Collaborate with Cross-Functional Teams: Collaborate with cross-functional teams, including data scientists, product managers, and engineers, to integrate AI solutions into existing systems and workflows.
• Stay Current with AI Advancements: Stay current with the latest advancements in AI research and development.
• Mentor and Guide Junior AI Engineers: Mentor and guide junior AI engineers and developers.
• Communicate Complex Technical Concepts: Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.

Requirements:

• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
• Experience: 6 years of experience as an AI Engineer or a related role.
• Proven Track Record: Proven track record of designing, developing, and deploying successful AI solutions.
• Machine Learning Expertise: Strong expertise in machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning.
• Deep Learning Frameworks: Experience with deep learning frameworks, including TensorFlow and PyTorch.
• Programming Skills: Excellent programming skills in Python and other relevant languages, including Java and C.
• Cloud Computing: Experience with cloud computing platforms, including AWS, Azure, and GCP.
• Data Management: Strong understanding of data management, data analysis, and statistical methods.
• Communication and Collaboration: Excellent communication, collaboration, and problem-solving skills.
• Passion for AI: Passion for AI and its potential to solve real-world problems.