Model Deployment and Integration: You will oversee deploying these AI models into production environments and integrating them seamlessly with applications (in partnership with software and data engineers).
Univers combines global operating scale, deep industrial intelligence, and recognition from the institutions shaping energy, technology, and sustainability. The platforms built for the last decade were designed to monitor.
Proficiency in programming languages commonly used in bioinformatics and data science (e.g., Python, R) and familiarity with machine learning frameworks.
Support the development of AI-enabled products from concept through delivery, with a focus on quality, usability, scalability, and responsible implementation
Apply AI-assisted coding tools (e.g., GitHub Copilot, Claude Code, Cursor) in your own delivery work, trying out prompting techniques and workflows and feeding practical learnings back into the AI Platform Lead's adoption program.
Evaluate model performance, implement and deploy GenAI and ML solutions on OCBC Infrastructure at scale, ensuring robust monitoring, automation and operational reliability.
Contribute to the project's foundational knowledge by documenting the shared technical understanding and implementation details aligned with high-level business requirements and project goals.
We are hiring at senior level by preference, and we welcome mid-level and early-career candidates who show strong fundamentals and want to grow into the role. We invest in training, including the clinical and oncology domain knowledge. The level and salary are set at offer, based on assessment.
Operate and extend the Studio engine: image generation (gpt-image-2), video generation (Seedance 2.0 via BytePlus), reference-anchored character consistency, take/cut/release pipelines
Partner with cross-functional operational stakeholders to evaluate technical feasibility, enforce data privacy and security frameworks, and align systems with regulatory governance standards.