AI/ML Engineer (Permanent)

Responsibilities: • Provide technical leadership in the design, development, and deployment of production-grade AI and machine learning solutions, with a focus on geospatial applications. • Design and architect scalable machine learning systems, working closely with software engineers to integrate AI capabilities into end-to-end platforms. • Drive model performance, system reliability, and continuous improvement through MLOps best practices, including deployment, monitoring, and optimisation. • Collaborate with product, business development, and sales teams to translate business requirements into clear technical solutions and delivery plans. • Provide technical guidance and mentorship to engineers, supporting technical decision-making and capability development within the team. • Support pre-sales and post-sales activities by providing technical expertise and consultation where required. Requirements: • Degree in Computer Science, Electrical Engineering, or a related discipline. • At least 5 years of relevant experience in developing and deploying production-grade machine learning solutions. • Strong foundation in machine learning and deep learning, including model development, evaluation, and optimisation. • Proficient in Python, with hands-on experience in machine learning frameworks such as PyTorch and scikit-learn, as well as computer vision libraries such as OpenCV. • Experience in deploying and maintaining ML services, including API development using Flask, FastAPI, or Node.js, and containerisation using Docker. • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), retrieval optimisation, and graph databases will be advantageous. • Self-motivated and proactive, with strong ownership, stakeholder management, and communication skills. • Ability to mentor team members and collaborate effectively across technical and business teams. (EA Reg No: 20C0312) #J-18808-Ljbffr