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Salary
$52k – $64k per year (gross)
Location
In office (Singapore)
Employment
Full-Time

First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
xFusion Digital Technologies manufactures servers and computing infrastructure. Its product line covers general purpose, artificial intelligence and liquid cooled systems. The business was divested from a large telecom equipment maker.

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.

· 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).

Skills

TensorFlow, Scalability, Kubernetes, Regulatory Compliance, Pipelines, SageMaker, Computer Vision, Product Management, PyTorch, Solution Architecture, Python, Vertex, Docker, Data Science, Consulting

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