AI Solutions Engineer

Xfusion International · Singapore

Sector
AI
Function
Product & Engineering
Level
Mid-Level
Employment type
Full Time
Posted
2026-08-26
Source
mycareersfuture

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).

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