KEY RESPONSIBILITIES WILL INCLUDE:

• Act as a trusted advisor to internal stakeholders, providing clarity, guidance, and direction during project ideation and uncertainty.
• Leverage deep expertise in Computer Vision and ML techniques to clearly define and scope technical problem statements.
• Facilitate and lead design sessions to explore potential solutions, guiding the team towards the most effective, viable solution considering both technical and operational constraints.
• Demonstrate advanced proficiency in Computer Vision, Deep Learning, and multimodal ML techniques, applying these effectively within business contexts.
• Rapidly prototype and iterate solutions, adopting a “fail-fast” approach to learning and development.
• Ensure adherence to best practices in Computer Vision, ML engineering, and software development, actively improving existing practices or introducing new ones where appropriate.
• Support team growth by mentoring junior data scientists and ML engineers, providing feedback to their managers, and facilitating internal skill-sharing sessions.
• Collaborate proactively with colleagues across the organisation, demonstrating strong teamwork and commitment to broader organisational success.

WHAT YOU WILL BRING TO THE ROLE:

• A tertiary qualification in Computer Science, Engineering, Data Science, or a related technical field.
• Demonstrated experience in developing and deploying AI/ML solutions with a strong emphasis on Computer Vision and Deep Learning.
• Solid understanding of AI/ML algorithms and methodologies, particularly in image processing, natural language processing, and multimodal model applications.
• Proficient in Python, SQL, and familiar with essential AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenCV, Hugging Face transformers).
• Experience in deploying machine learning models in cloud environments such as Databricks, Snowflake, and AWS, including strong capabilities in API integration.
• Practical experience fine-tuning Large Language Models (LLMs) and multimodal models for specific business use cases.
• Proven track record of deploying robust Computer Vision systems in production environments using modern cloud technologies.
• Direct experience working with Optical Character Recognition (OCR) technologies and integrating multimodal Vision-Language Models (VLMs) for tasks such as structured data extraction, process automation, or document intelligence is preferred.