Senior AI Platform Lead: LLMs, Personalization & FinTech

Ambition Group Singapore Pte Ltd

Singapore

In loco

SGD 260.000 - 380.000

Tempo pieno

3 giorni fa

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Descrizione del lavoro

Ambition Singapore seeks an accomplished AI leader to design and optimize enterprise-grade AI platforms for trading and financial content. You will guide architecture, data pipelines, model training, fine-tuning, and production deployment to deliver scalable, compliant AI solutions.

In this senior role you will mentor AI, data engineering, and compliance teams, partner with Product, Engineering, and Business stakeholders, and drive best practices in model evaluation, reliability, explainability,

Competenze

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, Data Science, or a related discipline.
10+ years of experience across AI, ML, Data Science, or Data Engineering in production environments.
Proven experience designing and deploying AI-powered applications and LLM-based solutions in production.
Hands-on experience with open-source AI frameworks like PyTorch and Transformers.
Experience with model fine-tuning, evaluation methodologies, and prompt engineering.
Strong knowledge of recommendation systems, graph-based learning, and vector databases.
Experience in regulated industries such as financial services, fintech, or capital markets is advantageous.
Excellent communication and stakeholder leadership abilities.

Mansioni

Lead the development and optimization of AI solutions including LLMs, multimodal AI systems, and generative AI applications for trading and financial content.
Design and implement personalization engines delivering content, insights, and recommendations based on user behavior.
Develop scalable search and recommendation systems using embeddings, vector search, graph analytics, and behavioral modelling.
Architect, build, and manage end-to-end AI/ML platforms covering data ingestion, feature engineering, model training, deployment, and lifecycle management.
Establish model evaluation frameworks to improve accuracy, relevance, and user engagement.
Design real-time data pipelines for high-volume market and user data to support low-latency AI apps.
Own and enhance custom model fine-tuning workflows using open-source tooling.
Ensure AI systems comply with regulatory, security, risk, and data governance standards.