AI Engineer at Wazobia Technologies

Role Overview:

• As an AI Engineer at Wazobia Technologies, you will play a crucial role within cross-functional teams, ensuring the timely and high-quality delivery of features.
• You'll be responsible for uncovering new play experiences through AI and Machine Learning, leading efforts to develop and deploy ML models, and integrating innovative solutions into digital products.
• This role requires a proactive and adaptable individual who is not only an expert in Python but is also eager to learn and explore tasks beyond their comfort zone.

Core Responsibilities:

• Lead the development and deployment of Machine Learning models and systems.
• Develop prototypes for future play experiences and integrate solutions into products.
• Collaborate with stakeholders to identify and implement AI solutions that drive value.
• Stay updated on the latest Machine Learning technologies and tools.
• Work closely with a diverse team to iteratively develop features that align with product goals.
• Write clear, maintainable, and portable code.
• Collaborate with software engineers to design and build high-quality, scalable software.
• Develop Python code and interfaces (APIs and services) for effective platform architecture and scalability.

Required Skills and Experience:

• 3+ years of hands-on experience in building Machine Learning models and delivering high-quality solutions.
• Experience with Graph Machine Learning and applying methods for classification, prediction, and generation tasks.
• In-depth knowledge of generative AI methods and the ability to adapt them to custom datasets and domains.
• Proficiency in Python programming and familiarity with common software development tools.
• Strong communication skills to collaborate within cross-functional teams.
• Understanding of AI behavioral techniques.
• Excellent time management and organizational skills.
• Strong interest in researching and implementing new AI-related technologies.
• Passion for designing reliable large-scale software.
• Outstanding analytical abilities.
• Experience in building and running production platforms.