AI Engineer

We are seeking an experienced AI Engineer to lead the maintenance, modernisation, and continuous improvement of our production AI services. The role will own the technical delivery of AI model upgrades and enabling technology upgrades, ensuring that changes are secure, reliable, scalable, well-governed, and implemented with minimal disruption to business operations. Key Responsibilities: AI Model Upgrade Leadership • Own the end-to-end roadmap and execution of upgrades across machine learning, Generative AI, large language model, and related AI services. • Assess new model versions, and capabilities against business needs, performance, security, compatibility, and governance requirements. • Define evaluation criteria and oversee benchmark, regression, safety, performance, and business acceptance testing before production release. • Lead migration and rollout strategies, including release sequencing, rollback planning, change controls, and post-implementation validation. Technology Modernisation & Platform Upgrades Lead upgrades to application frameworks, libraries, APIs, runtime environments, cloud services, data components, and AI/ML platforms supporting departmental AI services. Evaluate technical debt, dependencies, and end-of-life risks; translate findings into prioritised remediation plans. Requirements Education & Experience Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology, or a related discipline. 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, platform engineering, or related technology roles. Significant experience leading enterprise-scale AI or ML platforms and production services, including complex model and technology upgrades. Technical Skills Deep understanding of the AI/ML lifecycle, including model evaluation, deployment, versioning, monitoring, retraining, rollback, and retirement. Strong knowledge of Generative AI, large language models, retrieval-augmented generation, prompt engineering, agentic workflows, and responsible AI considerations. Proficiency in Python and experience with common AI/ML frameworks, model APIs, orchestration tools, and data processing libraries. Hands-on experience with MLOps or LLMOps platforms, CI/CD pipelines, model registries, automated evaluation, containerisation, and infrastructure-as-code. Thanks, and Best Regards Karanam Vijaya Kiran (EA Registration no: R1443178) HP: +65 92333815 Recruitment Manager Helius Technologies Pte Ltd (EA Licence No: 11C3373)