Machine Learning Operations Lead
6 days ago
We are seeking a highly skilled Machine Learning Operations Lead to join our team at Singtel. As a key member of our data engineering team, you will be responsible for designing and developing production-grade codes for operational machine learning workflows.
Key Responsibilities:- Develop engineering solutions to run production-level machine learning and data-driven initiatives.
- Manage and monitor the full lifecycle of ML models in production, including feature monitoring, model results, and performance.
- Schedule and orchestrate complex ML workflows and pipelines using the latest technologies and schedulers.
- Optimize the efficiency of machine learning algorithms by applying state-of-the-art technologies to reduce training time and inference latency.
- Work closely with data scientists, business, and IT teams to build a platform and framework to enable machine learning and data analytics activities on a large scale.
- Continuously innovate and optimize machine learning workflows through R&D on new technologies.
- Establish, implement, and maintain best practices and principles of machine learning engineering.
- Bachelor's degree in Computer Science, Computer Engineering, or a highly related discipline.
- Excellent programming skills in at least one object-oriented programming language (Python, Java, C++).
- Proficiency in Bash, Shell, YAML, Ansible, Git, Maven, Jenkins, JUnit, Ctrl-M, K8, Docker.
- 2+ years of experience in software engineering or data engineering.
- Implementation experience in machine learning algorithms and applications.
- Strong expertise in ML model deployment tooling, high-performance computing, and parallel data processing.
- Passion for machine learning, new application areas, and new tools.
- Experience working on Spark, HiveQL, or Optaplanner.
- Knowledge in database modeling, big data, or data warehousing concepts.
- Fluency in at least one modern distributed ML framework (TensorFlow, PyTorch, Caffe, MLFlow).
- Exposure in artificial intelligence – machine learning, deep learning, reinforcement learning.
- Experience working with Singaporean clients, the Singapore government, familiarity with GDPR in Europe, PDPA in Singapore.
- Certification and applied experience in cloud-based analytics platforms such as Microsoft Azure Analytics, Amazon Web Services Analytics, or Google Cloud Platform Analytics.
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