Deskripsi pekerjaan
- Design and implement cloud solutions and setup MLOps on cloud (GCP).
- Implement and track best practices for model development and deployment life cycle.
- Data science models testing, validation and automation of test cases.
- Collaborate with a team of data scientists, data engineers and solution architects.
- 2-4 years of industry experience with 1+ years of hands-on AI or ML system development experience.
- Highly skilled in python with a good understanding of dockers and containers.
- Experience in model deployment, model monitoring, and model refresh experience in any orchestration tool like MLflow and Kubeflow is expected.
- Expertise in design and development of ML-based solutions.
- A decent understanding of data science techniques.
- Decent experience in developing deep learning models using frameworks like Tensorflow, Keras, Caffe and PyTorch.
- Good experience working with data pipelines and ETL/ELT.
- Comfortable in conversational English.
