AI Solutions Engineer

XFUSION INTERNATIONAL PTE. LTD.Singaporemycareersfutureközzétéve: 2026. 08. 26.
Kötelező:PythonAWSAzureDockerKubernetesCloudCI/CDAISecurityLead

We are seeking a highly skilled AI Solutions Engineer to join our team in Singapore. In this role, you will be responsible for designing, developing, and implementing cutting-edge AI solutions to solve complex business challenges. You will collaborate with cross-functional teams to integrate AI models into real-world applications, ensuring scalability, efficiency, and business impact.

Key Responsibilities

  • Design, develop, and deploy large language models (LLMs) to meet business needs.
  • Work closely with stakeholders to understand requirements and translate them into AI-driven solutions.
  • Optimize and fine-tune existing AI models for performance and scalability.
  • Stay updated with the latest advancements in AI, data, and LLM technologies.
  • Lead AI projects from concept to deployment, ensuring best practices in data security and ethical AI.
  • Provide technical guidance to teams on AI-related initiatives.
  • Evaluate and integrate third-party AI tools and frameworks when necessary.
  • Document AI models, workflows, and processes for knowledge sharing.

Skills & Qualifications

Must-Have:

  • Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields.
  • 3+ years of hands-on experience in AI/ML model development and deployment.
  • Strong proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Experience with NLP, Computer Vision, or Generative AI (e.g., LLMs, GANs).
  • Knowledge of cloud AI services (e.g., AWS SageMaker, Google Vertex AI, Azure ML).
  • Solid understanding of data preprocessing, feature engineering, and model evaluation.
  • Experience with MLOps and AI model deployment pipelines (Docker, Kubernetes, CI/CD).
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Good-to-Have:

  • Experience in AI consulting or solution architecture.
  • Familiarity with data and AI technologies.
  • Knowledge of ethical AI and regulatory compliance (e.g., PDPA, GDPR).