Ai Engineer

5 days ago

Singapore SYNAXG TECHNOLOGIES PTE. LTD. Full time

**Job Overview**:
**Core Responsibilities**:
**AI-RAN System Development & Optimization**:

- Contribute to the design, development, and optimization of AI-RAN systems to improve the performance of wireless access networks.
- Identify bottlenecks in RAN systems using AI technologies and implement solutions to enhance efficiency.

**AI Models & Algorithm Application**:

- Participate in data preprocessing, feature engineering, model training, and validation to ensure model accuracy and efficiency.

**Cross-Functional Collaboration**:

- Work closely with wireless communication engineers and R&D teams to ensure the successful deployment and delivery of AI-RAN systems.
- Ensure the scalability and long-term optimization of AI-RAN systems through collaboration.

**Continuous Learning & Innovation**:

- Stay up-to-date with the latest developments in AI technology and continuously enhance technical expertise.

**Qualifications**:
**Educational Background**:

- Bachelor's degree or higher in Computer Science, Artificial Intelligence, Telecommunications Engineering, or a related field.

**Experience**:

- Solid understanding of AI principles, machine learning, and deep learning technologies.
- Prior experience in AI-RAN systems is a plus, though highly motivated recent graduates with strong learning capabilities are also encouraged to apply.

**Technical Skills**:

- Proficiency in programming languages such as Python and C++ for developing and maintaining AI platform features.
- Experience with machine learning and deep learning algorithms, and familiarity with frameworks like TensorFlow, PyTorch.
- Practical experience with data analysis, training, and tools like Docker, Kubernetes, Git, etc.
- Knowledge of at least one architecture and experience in high-performance computing (e.g., GPU, X86, ARM).

**Soft Skills**:

- Strong desire for continuous learning and self-improvement.
- Excellent communication skills and the ability to work well within a team.
- Problem-solving ability and the capacity to make quick decisions in high-pressure situations.

**Preferred Skills**:

- Knowledge of advanced AI fields such as multimodal AI, AIGC, NLP, and LLM.
- Familiarity with RAG and Agent modes, and experience with tools like Langchain, LlamaIndex, and SemanticKernel is a plus.

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