job description
Join Singapore Telecommunications (Singtel) as a Forward Deployed Engineer Intern and be at the forefront of AI-driven innovation! This is a unique opportunity to contribute to Singtelās AI transformation by exploring, prototyping, and validating cutting-edge AI-native solutions in a dynamic, fast-paced environment.
As part of our elite engineering team, youāll collaborate with cross-functional stakeholders to bridge the gap between emerging AI technologies and real-world business applications. Your work will directly impact Singtelās digital strategy, helping shape the future of telecommunications and beyond.
Based in Bali, this role offers a flexible, remote-first approach while immersing you in a culture of innovation, learning, and impact. Whether youāre refining large language models, optimizing AI workflows, or deploying scalable solutions, youāll gain hands-on experience with industry-leading tools and methodologies.
If youāre a passionate problem-solver with a knack for AI/ML and a desire to drive technological advancement, we want to hear from you!
Responsibility
- Collaborate with senior engineers to explore, prototype, and validate AI-native solutions for Singtelās digital ecosystem.
- Assist in the design and implementation of scalable AI/ML models, ensuring alignment with business objectives.
- Conduct data analysis and experimentation to identify opportunities for AI-driven automation and optimization.
- Support the deployment and monitoring of AI solutions in production environments, with a focus on performance and reliability.
- Document technical processes, findings, and recommendations to enhance team knowledge sharing.
- Stay updated on emerging AI/ML trends and evaluate their potential application within Singtelās infrastructure.
- Work closely with product and business teams to translate technical capabilities into user-friendly solutions.
- Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
Qualifications
- Currently pursuing or recently completed a Bachelorās or Masterās degree in Computer Science, AI/ML, Data Engineering, or a related field.
- Strong foundation in Python, Java, or Scala and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
- Basic understanding of data structures, algorithms, and distributed systems.
- Experience with data preprocessing, feature engineering, and model evaluation is a plus.
- Excellent problem-solving and analytical skills, with a proactive approach to learning.
- Strong communication and teamwork abilities to thrive in a collaborative environment.
- Passion for AI innovation and a desire to work on high-impact projects.