Deskripsi Pekerjaan
Are you ready to accelerate your career at the intersection of Cloud Infrastructure and Artificial Intelligence? Accenture is looking for an innovative AWS AI Engineer to join our dynamic technology team in Metro Manila. In this role, you will leverage the power of Amazon Web Services to build, deploy, and scale cutting-edge AI and Machine Learning solutions for our global enterprise clients.
As a key member of our practice, you will work in an agile environment, tackling complex business problems by integrating Generative AI, Large Language Models (LLMs), and advanced data pipelines. We offer a culture of continuous learning, professional growth, and a generous joining bonus to help you kickstart your journey with us.
Tanggung Jawab
- Design and deploy scalable AI/ML architectures using AWS SageMaker, Lambda, and Bedrock.
- Develop and integrate Generative AI solutions and LLM workflows into existing client applications.
- Collaborate with cross-functional teams to engineer data pipelines that support real-time model inference.
- Optimize cloud infrastructure costs and performance for high-load machine learning models.
- Implement MLOps best practices, including CI/CD for machine learning and automated model monitoring.
- Provide technical leadership and mentorship to junior engineering staff within the cloud practice.
- Conduct code reviews and ensure high standards of security and reliability in AI deployments.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Science, or a related technical field.
- Minimum 3-5 years of experience in software engineering with a strong focus on cloud-native AI/ML solutions.
- Proven hands-on experience with AWS AI services (e.g., Bedrock, SageMaker, Rekognition, Lex).
- Proficiency in Python and deep understanding of machine learning frameworks like PyTorch or TensorFlow.
- Experience in managing infrastructure-as-code using Terraform or AWS CloudFormation.
- Strong understanding of data architecture, distributed systems, and API design.
- AWS Certified Machine Learning – Specialty or Solutions Architect certification is highly preferred.