AI Engineer

RECRUIT EXPRESS PTE LTD; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

A leading recruitment firm in Singapore seeks an experienced AI/ML Solutions Designer to drive client engagement and deliver innovative AI solutions. The ideal candidate will have a Bachelor's degree in a quantitative field and strong expertise in Python and core AI/ML libraries, with hands-on experience in Generative AI and cloud services. This role involves assessing client needs and prototyping AI solutions. Interested applicants please send your resume to the specified email.

Qualifications

• Bachelor’s degree in a quantitative field.
• Experience in AI/ML and client-facing roles.
• Proficiency in Python and core AI/ML libraries.
• Hands-on experience with Generative AI and LLMs.
• Strong experience in Google Cloud Platform services.
• Experience with Docker and Kubernetes concepts.
• Understanding of MLOps principles.
• Expertise in data governance and quality assessment.

Responsibilities

• Engage with high-value business opportunities.
• Understand client challenges and translate them to AI problems.
• Design end-to-end AI solutions.
• Develop AI prototypes and POCs following best practices.
• Conduct assessments of client data infrastructure.
• Research AI advancements and influence company roadmap.
• Collaborate with AI Production team on integration.
• Define business case and ROI of implementations.

Skills

Python

AI solution design

Data Science

Machine Learning

Docker

Google Cloud Platform

MLOps

Data Governance

Data Quality Assessment

Distributed Computing

Presentation Skills

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related field

Tools

scikit-learn

TensorFlow

PyTorch

Google Cloud Vertex AI

Google Cloud BigQuery

MLflow

Job description

DUTIES AND RESPONSIBILITIES

• 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 AND EXPERIENCES

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
• Experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client‑facing or consulting capacity.
• 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, Vertex AI 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 Data Catalog), 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.
• Experience in the container shipping industry or related logistics/supply chain domains is highly advantageous.
• Excellent presentation, documentation, and stakeholder management skills.