AI Engineer (Technical)

DUTIES ANDRESPONSIBILITIES: • Proactively identify and engage with high-value business opportunities and potential clients who can significantly benefit from advanced AI and machine learning solutions. • Deeply understand client business challenges, pain points, and strategic goals, translating them into clear, solvable AI/ML problems. • Design end-to-end AI solutions, articulating compelling value propositions and the strategic roadmap for adoption. • Conduct in-depth assessments of client data infrastructure, data governance, data quality, and overall data maturity. • Make expert judgment calls on data "AI-readiness" and provide actionable recommendations for data improvement, gap identification, and strategic data capitalization opportunities. • Rapidly develop functional AI prototypes and Proof-of-Concepts (POCs) that are architecturally sound, adhere to best practices for maintainability, and are designed for production. • Continuously research and evaluate the latest AI advancements, including Generative AI, Large Language Models (LLMs), Deep Learning, and MLOps methodologies. Synthesize findings into actionable insights, influencing our company's strategic roadmap, service offering development, and contributing to industry thought leadership through presentations to leadership and external forums (moderate to high emphasis). • Collaborate effectively with the internal AI Production team, ensuring prototypes and solution designs are well-documented, understood, and seamlessly integrated into the full development lifecycle. • Clearly define the business case, expected return on investment (ROI), and measurable benefits of proposed AI/ML implementations, simplifying complex technical concepts for non-technical audiences. QUALIFICATIONS: • Proven experience in designing, developing, and deploying functional AI/ML prototypes that demonstrate business value and are engineered for production. • Expert proficiency in Python and extensive experience with core AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). • Demonstrated hands-on experience with Generative AI and Large Language Models (LLMs), including frameworks like LangChain, for designing and prototyping novel applications. • Strong practical experience with Google Cloud Platform (GCP) services relevant to AI/ML (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions). • Proficiency with Docker for containerization and a foundational understanding of container orchestration(e.g., Kubernetes concepts for GKE). • Solid understanding of MLOps principles for reproducibility, experiment tracking (e.g., MLflow, VertexAI ML Metadata/Model Registry), and model versioning. • High-level expertise in data governance frameworks, data quality assessment (including tools/libraries like Great Expectations), metadata management (e.g., Google Cloud DataCatalog), and data architecture principles. • Strong expertise in distributed computing and parallel processing techniques is vital for handling large-scale AI workloads. • A proven track record of innovations and executions in deep learning, demonstrated through shipping products or first-author publications at leading AI conferences, is a strong differentiator. Interested applicants please send your resume to venessagoh@recruitexpress.com.sg Venessa Goh Wee Ni R24124686 Recruit Express Pte Ltd EA License No: 99C4599 We regret that only shortlisted candidates will be contacted.