SUMMARY:
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POSITION INFO:
Are you a forward-thinking AI professional passionate about shaping intelligent solutions with real-world impact? Our client is looking for an Artificial Intelligence (AI) Engineer to join their high-impact team, dedicated to developing and deploying cutting-edge AI applications across complex industries such as energy, logistics, and finance.
About the Role
This is an exciting opportunity for a highly skilled AI Engineer to contribute to both hands-on development and strategic innovation. You’ll play a key role in research-driven implementation, solution design, and full lifecycle AI model deployment. Reporting into senior technical leadership, you'll help shape the future of the organisation’s AI capability.
Key Responsibilities
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AI Model Development: Design, develop, and deploy machine learning and generative AI models, with a focus on semi-supervised learning and open-set recognition.
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Cross-Functional Integration: Collaborate with business units to ensure AI solutions align with strategic objectives.
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Research & Prototyping: Lead and contribute to real-time AI application research and prototyping in complex domains.
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Lifecycle Ownership: Oversee AI development from data ingestion through to deployment, monitoring, and performance optimisation.
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Architecture & Strategy: Contribute to high-level platform architecture and AI strategy.
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Knowledge Sharing: Document processes, share insights, and contribute to internal technical education.
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Ethical AI Compliance: Ensure solutions adhere to responsible AI standards and legal frameworks.
Skills & Experience
Must-Have:
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PhD, Master’s, or Honours degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field
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3+ years of hands-on experience developing and deploying AI/ML solutions
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Proficiency in Python, including TensorFlow, PyTorch, and Scikit-learn
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Strong knowledge of generative AI, machine learning, and data science
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Experience in deploying AI solutions on cloud platforms such as AWS or Google Cloud
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Excellent communication, problem-solving, and cross-functional collaboration skills
Preferred:
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Experience in smart grid systems, automation, or data-intensive domains
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Background in AI research or academic publishing
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Contributions to open-source AI projects or community initiatives
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Familiarity with AI governance and compliance
Compensation & Benefits
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Competitive market salary
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Growth opportunities in a dynamic and innovation-driven environment
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Collaborative culture with support for technical development and research
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Opportunity to make meaningful impact in industries undergoing digital transformation
Company Culture & Values
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Innovation-First Mindset – Always looking to build smarter, faster, and better.
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Collaborative Culture – Strong focus on teamwork and cross-functional partnerships.
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Integrity in AI – Committed to ethical, responsible use of emerging technologies.
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Real-World Impact – Dedicated to solving real problems with scalable AI solutions.
If you have not been contacted within 10 working days, please consider your application unsuccessful.
