Roles & Responsibilities
* Design and develop AI models and algorithms from the ground up.
* Design, test, and refine prompts for Large Language Models (LLMs) to optimise performance across diverse use cases, aligning with business goals and user needs.
* Implement AI solutions that integrate seamlessly with existing business systems to improve functionality and user experience.
* Manage data pipelines and flows to ensure effective AI deployment.
* Collaborate cross-functionally to align AI initiatives with strategic organisational objectives.
* Participate in functional and process design including scenario design, flow mapping, prototyping, testing, training, and support documentation.
* Document solutions and lessons learned from each AI initiative or prototype.
* Lead and manage teams in conducting market and competitor analysis in the AI and automation space.
* Work closely with stakeholders and product teams to gather feedback and refine solutions based on performance and user interaction.
* Handle large-scale data sets for statistical modeling, data mining, and recommendation systems.
* Write production-grade code and ensure best practices in software development.
* Develop, fine-tune, and customise LLMs for specific business applications.
* Research and develop state-of-the-art AI technologies.
* Build and deploy scalable AI software systems.
* Collaborate with development teams to ensure seamless integration of AI applications into deployment pipelines.
* Provide post-deployment support and optimisation for AI solutions.
* Adhere to established development and support procedures.
Skills & Experience
Technical Skills:
* Strong foundation in computer science fundamentals including algorithms, data structures, and complexity analysis.
* Proven experience deploying applications on Kubernetes in cloud environments (AWS, Azure, GCP) using Helm charts and Docker Compose.
* Proficient in machine learning, deep learning, natural language processing (NLP), and computer vision.
* Experience designing and implementing MLOps pipelines with monitoring and observability.
* Familiarity with AI frameworks such as TensorFlow and PyTorch.
* 3-5 years of hands-on experience applying AI to practical, scalable technology solutions.
* Skilled in programming with Python and building/managing ML pipelines.
* Experience with REST API development, NoSQL and RDBMS database design and optimisation.
* Understanding of object-oriented and functional design principles, with knowledge of best-practice architectural patterns.
* Exposure to AWS/Azure DevOps tools and processes.
Non-Technical Skills:
* Excellent problem-solving skills and ability to thrive in a collaborative, team-oriented environment.
* Strong business acumen with a keen eye for detail.
* Effective communicator, capable of explaining complex technical concepts to non-technical stakeholders.
* Self-motivated and enthusiastic, with a proactive approach to team contribution and goal setting.
* Analytical mindset, capable of identifying user challenges and proposing creative, effective AI-driven solutions.
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