Senior/ Machine Learning Engineer
2 weeks ago
**Machine Learning Engineer
- MLOps**
Our client is a large Financial Corporation who has global footprint across 20 countries and regions. They are looking for an experienced MLOps Engineer. You will join a dynamic and fast-paced environment and work with different stakeholders to deliver the company’s vision and strategy.
**OVERALL ROLE PURPOSE**:
- Working within their Center of Excellence for Data Science and Artificial Intelligence, you will be part of their new ML Engineering and Operations practice.
- You will be part of their MLOps ecosystem and design their future MLOps strategy to improve the scalability and maintainability of their models and deployments.
**RESPONSIBILITIES**:
- Build scalable MLE platforms such as Pipelines, Feature Store, and Enterprise Customer Graph to accelerate the organization’s AI capabilities
- Work closely with data scientists in deploying and maintaining models in production.
- Explore new emerging open-source technologies and how they could benefit their platforms and processes.
**REQUIREMENTS**:
- Relevant work experience in Machine Learning Engineering, Backend Engineering, and/or DevOps
- Hands-On experience with Hadoop-based engines, such as Hive, Impala.
- Experience with distributed computing framework such as Spark, Dask, Ray.
- Strong programming skills in Python and another object-oriented language (e.g. Scala, C++).
- Clear communicator, with the ability to articulate ideas with data.
- Experience with operating in a corporate environment and stakeholder management.
- Strong results driven personality with an innovative spirit.
**GOOD TO HAVE**:
- Strong Experience working with scalable distributed container platforms particularly Kubernetes or OpenShift.
- Experience working with real-time processing framework, such as Kafka and Flink.
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