job description
Join Runjian (M) Sdn. Bhd., a cutting-edge technology company at the forefront of AI innovation, as our next Forward Deployed Engineer (FDE) in the vibrant tech hub of Bali, Indonesia. We are seeking a dynamic and technically skilled engineer to bridge the gap between our AI products and real-world applications, ensuring seamless deployment and maximum impact for our clients.
As an FDE, you will work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver AI-powered solutions that drive business transformation. This role is perfect for someone who thrives in a fast-paced, collaborative environment and is passionate about leveraging AI to solve complex challenges. Baliās thriving tech community, combined with our innovative projects, offers an unparalleled opportunity to grow your career while enjoying a balanced lifestyle in one of the worldās most desirable locations.
If you are a problem-solver with a strong technical background and a passion for AI, we want to hear from you. Help us shape the future of AI deployment and make a tangible difference in industries worldwide.
Responsibility
- Collaborate with clients to understand their business needs and translate them into technical requirements for AI-driven solutions.
- Design, develop, and deploy AI models and products in real-world environments, ensuring scalability and performance.
- Work closely with data science and engineering teams to optimize AI models for production and integration.
- Provide technical guidance and support to clients during the implementation and post-deployment phases.
- Monitor and troubleshoot AI systems to ensure reliability, accuracy, and efficiency.
- Develop custom scripts, tools, and workflows to streamline AI deployment processes.
- Stay updated with the latest advancements in AI and machine learning to drive continuous improvement.
- Document technical processes, best practices, and client feedback for future reference.
Qualifications
- Bachelorās or Masterās degree in Computer Science, Engineering, Data Science, or a related field.
- 3+ years of experience in software engineering, AI deployment, or a similar technical role.
- Proficiency in programming languages such as Python, Java, or C++.
- Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with API development and integration (REST, GraphQL).
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.