Job Description :

Purpose of the Role :

Key Accountabilities Parameters for Success :

- Design, build, test, and deploy robust and scalable AI/ML models and applications.

- Take ownership of features from initial concept through to production and ongoing maintenance.

- Contribute to the technical and architectural design of new AI systems and services, ensuring they meet standards for performance, security, and scalability.

- Implement state-of-the-art machine learning and deep learning models.

- Fine-tune and optimize models for specific business use cases, focusing on accuracy and efficiency.

- Analyze complex business requirements and translate them into well-architected, practical, and effective AI solutions.

- Uphold high standards for code quality, testing, and documentation.

- Champion software engineering best practices within the team.

- Deliver code that is secure, reliable and supportable.

- Provide technical guidance and mentorship to junior engineers, assisting with code reviews and sharing knowledge to elevate the team's overall capabilities.

- Demonstrate a strong curiosity for leveraging AI to improve personal and team productivity.

- Actively find and implement AI-powered tools and workflows to make your own role and development processes more efficient.

- Effectively use AI code assistants to deliver code.

- Ensure application diagrams and documentation stay current and relevant.

- Adherence to agile development methodologies.

Reports to : Director

Education :

- Bachelor's in a relevant field of work or an equivalent combination of education and work-related experience.

Experience :

- Typically, a minimum of 7+ years of software engineering experience, progressive work-related experience with demonstrated proficiency in multiple disciplines technologies or processes related to the position