AWS MLOps Engineer - Philippines, Pilipinas - OneByZero

Paglalarawan

We are a Singapore headquartered technology consulting company helping enterprises in their Cloud, Data & Analytics journeys. Our purpose is simple - To make your business transform using your data, by applying AI. We deliver this using tools, models, frameworks, and plug-and-play assets that we have developed to accelerate our client's transformational journey to growth. As deep domain experts, we win customers by the quality of our work and clearly measurable impact. Hence net promoter score is our success metric and repeat customers are our business strength.

The Role

Your Responsibilities Will Include

• Design and implement robust MLOps pipelines using AWS services like SageMaker, Lambda, ECS, EKS, and others.
• Automate machine learning workflows and implement continuous integration and delivery (CI/CD) for ML systems.
• Monitor and maintain ML models in production, ensuring high performance and scalability.
• Collaborate with data scientists and engineers to optimize model training, testing, and deployment processes.
• Implement security best practices for ML operations in the AWS environment.
• Stay updated with the latest AWS features and machine learning trends to continually improve our systems.
• Provide technical guidance and support for machine learning operations across the organization.
  
  

Ideal Profile

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong experience in AWS cloud services, specifically with ML services like SageMaker.
• Proficient in Python, with experience in ML frameworks like Scikit-learn, XGBoost, TensorFlow or PyTorch.
• Knowledge of Docker, Kubernetes, and other containerization technologies.
• Experience in building CI/CD pipelines for machine learning.
• Strong understanding of data engineering and ETL processes.
• Excellent problem-solving skills and ability to work in a dynamic environment.
  
  

Preferred Qualifications

• AWS certifications related to machine learning or DevOps.
• Experience in implementing machine learning models in a large-scale production environment.
• Familiarity with Agile methodologies and tools.
• Experience with various AWS tools & services including Lambdas, IAM, EC2, Glue, CloudFormation, DynamoDB, and CloudFormation.
  
  

What's on Offer

• Leadership Role
• Great work environment
• Flexible working options