Advanced AI Engineer

1 week ago

Singapore beBeeArtificialIntelligence Full time $120,000 - $180,000
AI Solutions Architect

Solve complex industry-specific problems by leveraging cutting-edge AI technologies, particularly in the maritime sector.

As a senior AI engineer, you will drive innovation and think critically to deliver strategic value across diverse business models. Your role requires expertise in architecting complex AI/ML solutions from problem framing to production-ready design.

Key responsibilities include:

  • Proactively identify high-value business opportunities and potential clients who can benefit from advanced AI and machine learning solutions.

  • 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.

  • 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 designed for production.

Required skills and qualifications:

  • Minimum Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. Master's or Ph.D. preferred.

  • At least 5+ years of progressive experience in AI/ML solution design, data science, or AI engineering, with a significant portion in a client-facing or consulting capacity.

  • 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).

  • High-level expertise in data governance frameworks, data quality assessment, metadata management, 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.

Working hours: Mon to Fri, 8:30am to 5:30pm

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