Machine Learning Engineer (Cybersecurity)
Singapore, Singapore
Acronis
Acronis provides award-winning backup software & data protection solutions for consumers, businesses & MSPs. Protect your sensitive information!SUMMARY
Acronis brings complete cyber protection solutions to its customers. As an ML engineer, you would be part of the global Cyber Security Team fighting against modern threats by supporting products with the latest ML detection methods. Participating in the development of new threat detection technologies using automation and Machine Learning methods to classify and detect cyber threats like ransomware, malware, viruses and phishing, to ensure that our customers always obtain fast and accurate cyber protection.
RSPONSIBILITIES
- Research and implement advanced AI/ML models according to business requirements and requests
- Prototype, build, test, deploy and maintain AI/ML infrastructure and production models
- Apply machine learning and/or graph analysis techniques to build production-level solutions
- Support the core team and work closely with the engineering team to integrate your work into our production systems
- Create and maintain documentation around features and configurations
REQUIREMENTS
- 2-3 years of experience in AI/ML Engineering and Research
- Strong understanding and experience on deep learning, reinforcement learning, classification and/or clustering algorithms and their applications
- Familiarity with ML algorithms as applied to Natural Language Processing and Information Retrieval
- Hands on experience in working with ML platforms and libraries such as TensorFlow, Keras, PyTorch and/or Scikit-Learn
- Familiarity with Big Data analytics such as Spark and SparkML
- Hands on experience in applying ML to very large data sets
- Proficiency in Python, R, Java, C++ or equivalent
- Strong background in machine learning and statistics
- Good reading and writing English skills
#L1-WC1
Tags: Big Data Classification Data Analytics Deep Learning Engineering Keras Machine Learning ML models NLP Python PyTorch R Research Scikit-learn Security Spark SparkML Statistics TensorFlow
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