Sr Machine Learning Engineer / MLOps/ Global Insurance/65 - 75k
Unleash your potential with a career at our client's prestigious global insurance company, serving clients across the globe. Our client is looking for a talented Machine Learning Engineer to join our team and play a pivotal role in driving our company's success.
Don't miss this chance to significantly impact our company's growth and shape the future of the insurance industry. Apply now and be part of our global team!
- Create robust, reusable, high-quality code to design, build, test, distribute, and manage ML applications. Actively suggest ways to enhance our architectures and services.
- Writing APIs to give model outputs.
- Cooperating with architectural teams to optimize our systems architecture, tech stack, and internal framework.
- Closely working with our data scientists to develop our machine-learning solutions.
- Containerize machine learning apps and finish CICD pipelines.
- Work with a variety of data kinds, including texts and photos. Completes and ensures all necessary documentation, such as deployment, maintenance, support, and business needs, is completed.
- 5+ years of related experience and a bachelor's or master's degree in a relevant subject (CS, math, or statistics)
- Practical expertise utilizing MLOps and CICD tools to orchestrate model serving.
- Practical experience training DL/ML models in multi-machine systems. Such as K8s, Docker, Jenkins, MLflow, and
- Extensive familiarity with Python and contemporary deep learning packages like HuggingFace, PyTorch, and TensorFlow
- Understanding of model pruning and quantization as methods of inference optimization
- Experience using Microsoft Azure services is appropriate, as is comparable experience with other cloud service providers.
- The capacity to conceptualize and express thoughts succinctly
Sr Machine Learning Engineer / MLOps/Global Insurance/65 - 75k/month + 2 months bonus
To apply for this position or to learn more about the employer or job responsibilities, please email your updated CV to email@example.com or +852 6106 7562
Argyll Scott Asia is acting as an Employment Agency in relation to this vacancy.