Machine Learning Researcher (Cybersecurity)
Singapore, Singapore
Acronis
Acronis provides award-winning backup software & data protection solutions for consumers, businesses & MSPs. Protect your sensitive information!Acronis is a world leader in cyber protection—empowering people by providing them with cutting-edge technology that enables them to monitor, control, and protect the data that their businesses and lives depend on. We are in an exciting phase of rapid-growth and expansion for someone who is ready to join us in creating a #CyberFit future and protecting the digital world!
As an ML Researcher, you would be part of the global ML Team fighting against modern threats by supporting products with the latest AI/ML techniques and 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.
Every member of our “A-Team” has an instrumental role and impact on the success of Acronis’ innovative and growing business. Just like everyone at Acronis, the ideal candidate will embody all of our company values: responsive, alert, detail-oriented, makes decisions, and never gives up.
WHAT YOU'LL DO
- 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.
- 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.
WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS)
- 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 large scale data processing platform such as Spark, Databricks, Yarn, and/or Hadoop;
- Hands on experience in applying ML and EDA to very large data sets.
- High proficiency in Python is a must; skills in R, Java, C++ or equivalent would be advantageous
- Strong background in machine learning and statistics.
- Good English communications skills
WHO WE ARE
Acronis is revolutionizing cyber protection by integrating backup, disaster recovery, storage, next-generation anti-malware, and protection management into one solution. This all-in-one integration removes the complexity and risks associated with non-integrated solutions and offers easy, complete and reliable data protection for all workloads, applications, and systems across any environment—physical, virtual, cloud, and mobile—all at a low cost.
Founded in Singapore in 2003 and incorporated in Switzerland in 2008, Acronis is truly a global organization with more than 1,900 employees in 33 locations in 18 countries. Its solutions are trusted by more than 5.5 million consumers and 500,000 businesses, including 100% of the Fortune 1000 companies. Acronis products are available through 50,000 partners and service providers in over 150 countries in more than 30 languages. Acronis is in an exciting phase of growth and expansion, recently receiving a $250 million investment from CVC Capital Partners, bringing the total valuation to more than $2.5 billion.
Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances.
#L1-WC1
Tags: Classification Clustering Databricks Deep Learning EDA Engineering Hadoop Keras Machine Learning ML infrastructure ML models NLP Python PyTorch R Research Scikit-learn Spark Statistics TensorFlow
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs