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MABASA / LINKEDIN

AI Engineer (Contract)

Quess Corp Limited

Location
Singapore, Singapore
Work type
contract
Source publication date
Original publication date not confirmed
Source closing date
Not supplied — check original advert

Job description from the source

**Job type:** Contract (1 year extendable) **Job location:** Singapore **Salary:** $7500 **// Candidates based in Singapore are preferred as the interview will be face to face//** **Key Responsibilities** Generative AI & Agentic AI • Design and develop AI agents using modern agent frameworks. • Build and optimize RAG (Retrieval-Augmented Generation) solutions. • Develop agent orchestration workflows and tool-calling frameworks. • Implement prompt engineering, evaluation, reflection, and memory capabilities. • Build reusable AI components that can be leveraged across multiple business use cases. Machine Learning & Data Science • Develop machine learning models for: o Client propensity prediction o Recommendation systems o Classification and ranking o Behavioral analytics o Next-best-action recommendations • Perform data exploration, feature engineering, and model evaluation. • Analyze large structured and unstructured datasets to generate actionable insights. • Monitor model performance and continuously improve accuracy and relevance. AI Application Development • Build production-ready AI services and APIs. • Integrate AI solutions with enterprise systems and data sources. • Implement monitoring, observability, and evaluation frameworks. • Optimize AI solutions for performance, scalability, and cost efficiency. **Required Qualifications** **Experience** • Experience in: o Machine Learning Engineering o Data Science o AI Engineering o Advanced Analytics • Hands-on experience building and deploying ML or AI solutions into production. **Technical Skills** **Programming** • Python (mandatory) • SQL • REST APIs **Machine Learning** **Experience with:** • Scikit-Learn • XGBoost / LightGBM • TensorFlow or PyTorch **Generative AI – (MANDATORY)** **Experience in all the following areas:** • RAG • Vector Search • LLM Applications • Dify • Agentic AI frameworks **Data Engineering** **Knowledge of:** • Data pipelines • Data transformation • Feature engineering • Data quality management **Cloud & DevOps** **Experience with:** • OCP (Openshift Platform) • Docker • Kubernetes • CI/CD pipelines • Git **Preferred Qualifications** • Experience with financial services, banking, capital markets, or wealth management. • Experience building recommendation engines or personalization solutions. • Experience with search, retrieval, and knowledge management platforms. • Familiarity with MLOps, LLMOps, and AI governance practices. • Experience working with unstructured document repositories and enterprise knowledge sources. **Saghana Sithara** **Business Manager, Recruitment | Singapore** Registration No: R1550224

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