Deskripsi Pekerjaan
Join InterOpera Pte.Ltd. as a DevOps/MLOps Engineer and become a key architect of our cutting-edge AI-Native Platform. This remote role offers the unique opportunity to bridge the gap between machine learning innovation and robust infrastructure, enabling scalable AI solutions that drive business transformation. You'll work in a dynamic environment where your expertise in automation and cloud technologies directly impacts product development and deployment efficiency. As we continue to expand our AI capabilities, you'll play a pivotal role in designing resilient systems that support the full ML lifecycle—from model training to production deployment. Collaborate with cross-functional teams to implement best practices in continuous integration/continuous deployment, ensuring our AI applications deliver exceptional performance and reliability.
Tanggung Jawab
- Design and implement CI/CD pipelines for AI/ML applications using tools like Jenkins, GitLab CI, or GitHub Actions
- Manage Kubernetes clusters and container orchestration for scalable ML workloads
- Automate infrastructure provisioning and configuration management using Terraform, Ansible, or CloudFormation
- Develop monitoring solutions for AI systems using Prometheus, Grafana, and ELK stack
- Optimize cloud resource utilization across AWS/GCP/Azure to reduce operational costs
- Implement security best practices for AI platforms including access control and data encryption
- Collaborate with ML engineers to streamline model deployment and versioning workflows
Kualifikasi
- Bachelor's degree in Computer Science, Engineering, or related technical field
- 3+ years of experience in DevOps or MLOps roles with proven track record in AI deployments
- Proficiency in containerization (Docker) and orchestration (Kubernetes)
- Strong scripting skills in Python, Bash, or Go for automation tasks
- Experience with cloud platforms (AWS, GCP, Azure) and serverless technologies
- Knowledge of ML frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow)
- Expertise in infrastructure as code (IaC) and configuration management