Lead/principal Research Scientist, Ai for IT

**Job Category **:Products and Technology

**Job Details**:
**Location: Singapore - Singapore**

You will primarily work on one of the following two selected areas:
(1) AI for IT Operations (AIOps) and related research areas, such as Time-series Analysis, Root Cause Analysis (RCA), Incident Management, Anomaly Detection, Causal ML for AIOps, Planning and Optimization, Auto-remediation, ML platforms for AIOps, etc;

You should have strong programming skills and have research experience or background in one or more of the following domains: machine learning, deep learning, natural language processing (NLP), data mining, software engineering, etc.

**Responsibilities**
- Participate in cutting-edge research in machine learning, AI for IT Operations (AIOps), or AI for Software
- Develop innovative and scalable solutions for large-scale, real-world problems in AIOps or software related domains

**Minimum Qualifications**
- Experience and Proficiency with one or more general purpose programming languages including but not limited to: Python, Java, C/C++.
- Experience with one or more machine learning and deep learning libraries (e.g., TensorFlow, PyTorch, etc).
- Experience with machine learning platform, software engineering, cloud computing and distributed systems, and you are able to build, test and deploy code to cloud infrastructure
- Practical experience in AIOps related projects (such as Root cause analysis, anomaly detection, incident management, failure detection, prediction and prevention, auto-remediation, resource scheduling and provisioning, etc.) or AI Software related projects (large-scale software code pretraining, defect detection, bug localization, automated program repair, code auto-completion, code generation, code search, etc).

**Bonus Points**
- Practical applied research experience in building and iterating AI products with machine learning, deep learning, NLP, data science, or related technology.
- Exposure to industry applied research or academic research, have a track record of having published papers in top-tier conference/journal venues (e.g. ICML, NeurIPS, ICLR, ACL, CVPR, ICSE, USENIX, etc.).
- Managerial skills, and have led teams to deliver AI Research and AI Products
- Strong programming skills, competitive in ACM-ICPC or other competitions.
- Expert in large-scale deep learning system, train models with GPU/TPU parallelisation.
- Experience in GPU programming, data visualisation, or web/mobile development.

**Accommodations**:
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