Deskripsi Pekerjaan
Are you passionate about the future of technology? Accenture is seeking a talented Generative AI Engineer to join our innovative team in Manila. In this role, you will be at the forefront of revolutionizing how businesses leverage artificial intelligence. You will design, develop, and deploy scalable full-stack applications powered by Large Language Models (LLMs) and advanced cloud architectures. We are looking for a problem solver who can bridge the gap between cutting-edge AI research and practical, high-impact business solutions. If you want to work in a dynamic environment that fosters growth, creativity, and professional development, this is the opportunity for you.
As a Generative AI Engineer, you will have the chance to work on high-profile projects, utilizing state-of-the-art tools and technologies to drive digital transformation for our clients worldwide.
Tanggung Jawab
- Design and implement end-to-end Generative AI applications using modern full-stack frameworks.
- Develop and fine-tune Large Language Models (LLMs) to solve complex business problems.
- Build and maintain robust RESTful APIs and microservices to integrate AI models into enterprise systems.
- Architect secure and scalable cloud-native solutions on platforms like AWS, Azure, or Google Cloud.
- Collaborate closely with data scientists, product managers, and engineering teams to define product requirements and roadmaps.
- Optimize model inference latency and manage infrastructure costs effectively.
- Conduct code reviews, write unit tests, and ensure best practices in software development.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related field.
- Proven experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Strong understanding of Generative AI concepts, including Transformers, GANs, and Diffusion models.
- Full-stack development experience with JavaScript (React/Vue) and backend technologies (Node.js/Python).
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Experience with MLOps practices, CI/CD pipelines, and cloud deployment.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.