Are you passionate about the chance to bring your experience to a world-class company that is market-leading in both content and technology? If yes, we're looking for you.

Join our team! The Software Development Manager AI will manage a high-performing team of engineers, fostering a culture of excellence, collaboration, and growth.

About the Role:

In this opportunity as a Software Development Manager AI you will:

• Lead & Inspire: Manage a high-performing team of engineers, fostering a culture of excellence, collaboration, and growth.
• Architect & Build: Engage in design and own implementation of UI and/or backend solutions using modern frameworks and technologies, stepping in to code when necessary.
• Strategize & Collaborate: Work with cross-functional team product managers, designers, and other leaders to define product strategy, set technical direction, and deliver innovative features.
• Drive Execution: Own the team roadmap and project lifecycle, ensuring that initiatives move from ideation to successful production launches.
• Mentor & Develop: Coach engineers, support professional development, and cultivate an environment where everyone can excel.
• Measure Impact: Define success metrics to track and evaluate project outcomes, using data-driven insights to guide future decisions.
• Shape Technology: Provide guidance on architecture, design, and best practices for front-end and back-end development.

About You:

You're a fit for the role of Software Development Manager, AI if your background includes:

• Education: Bachelor's Degree in Computer Science, Computer Engineering, or Equivalent Experience.
• Software Engineering Experience: Over 5 years of hands-on experience in software engineering with a demonstrated history of leading the development of scalable, web-based solutions. Proficient in designing and implementing RESTful APIs.
• Back-end Proficiency: Strong familiarity or experience with popular Python frameworks, including Django, Flask, or FastAPI.
• Front-end Proficiency: Skilled in using modern UI frameworks such as React, Angular, or similar, along with TypeScript and Nodejs.
• Data Engineering and MLOps Background: Solid foundation in data engineering or machine learning operations (MLOps).
• Cloud Technology Experience: More than 3 years of experience working with cloud platforms like Azure, AWS, or GCP, with a preference for AWS.
• DevOps Practices: Well-versed in DevOps methodologies, including CI/CD pipelines and infrastructure as code.
• AI Framework Knowledge: Familiar with AI frameworks such as TensorFlow, PyTorch, or Hugging Face, as well as GenAI concepts like prompt engineering, retrieval