Description
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
You will lead the design, development, and implementation of on-premises MLOps solutions that support the delivery of machine learning models. You will collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems.
Responsibilities:
- Lead the design, development, and implementation of on-premises MLOps solutions
- Collaborate with data scientists and software engineers to build scalable and efficient data pipelines and model training and deployment systems
- Develop and maintain monitoring and management tools to ensure the reliability and performance of our on-premises MLOps infrastructure
- Work with stakeholders across the organization to understand their machine learning needs and requirements
- Stay up-to-date with the latest trends and technologies in MLOps, machine learning, and artificial intelligence
- Mentor junior members of the team and help them grow their skills and expertise in MLOps
- Troubleshoot and debug user issues
Requirements:
- 5+ years of experience in MLOps, Software engineering, Data engineering, or a related field
- Strong programming skills in a modern programming language (Java, Scala, Python, Kotlin)
- Hands-on experience with Kubernetes
- Excellent communication and collaboration skills
- Value code simplicity and performance
Nice to have:
- Understanding of ML Projects lifecycle
- Experience with MLOps platforms, such as Kubeflow or MLFlow
- Experience with ML frameworks – like scikit-learn, LGBM, Tensorflow, PyTorch etc.
- Experience with Big Data tools – Spark, S3, Hadoop
- Strong knowledge of containerization and container orchestration technologies, such as Docker and Kubernetes
- Experience with DevOps and CI/CD practices