If you’re passionate about building ML models and have MLOps experience, apply for this challenging and rewarding opportunity to work with a team of experts on cutting-edge technologies.
Responsibilities
- Design, and deploy scalable and efficient ML models for various applications
- Develop and maintain MLOps pipelines for data preparation, model training, and deployment
- Implement strategies for model monitoring, evaluation, and maintenance
- Collaborate with Data Scientists, Engineers, and stakeholders to meet business requirements
- Explore and integrate new ML techniques and tools
- Document and communicate ML models and MLOps pipelinesPreferred Qualifications
- Knowledge about Microservices
- Knowledge about observability and how to gather data
- System design experience and capacity planning for large distributed systems
- Understanding of Automation tools and implementation
- Terraform/cloud formation experience
- Experience with managing monitoring tools like Cloudwatch, NewRelic, etc. Good understanding of DevOps concepts and implementation
Requirements
- Strong experience in ML development and deployment using frameworks like TensorFlow, PyTorch or Scikit-learn
- Experience with MLOps tools and frameworks like Kubeflow, MLflow, or AWS SageMaker
- Strong Python programming skills and experience with software engineering best practices
- Experience with cloud platforms like AWS, GCP, or Azure
- Good understanding of Data Science, Data Engineering, DEVOps principles
- Excellent communication skills and ability to work in a team
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field
Compensation
¥7,000,000 ~ ¥14,000,000 annually.