Machine Learning Engineer


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Cosmina Bartos HR ROMANIA


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Cluj-Napoca (ROU)

What you'll do

Duties Include: developing software and machine learning algorithms, conducting cyber threat modeling to improve threat detection and NLP text classification, conduct cyber threat modeling to improve threat detection & mitigation, standardize and optimize threat intelligence reporting monitoring to reduce response times and to increase security.

Who you are

● University degree in computer science, automation, electronics and telecommunications, informatics, mathematics, or comparable.
● Good algorithms, data structures, and software design background.
● Experience with object-oriented programming languages.
● Knowledge of one of the programming languages: Scala or Python, in a computing framework, like Apache Spark.
● ML Knowledge: Knows one or more of the following: Recommender systems, NLP, Standard DS algorithms (classification, clustering algorithms, optimization and data mining, NumPy/spark familiarity)
● Knowledge and experience in the analysis of various threat actor groups, attack patterns and tactics, techniques, and procedures (TTPs), deep analysis of threats across the enterprise
● Experience extracting and manipulating large datasets with SQL and Spark.
● Have experience in building production-grade models on large-scale datasets to optimize a specific objective by utilizing advanced statistical modeling, machine learning, and/or data mining techniques.
● Fluency in Computer Science fundamentals and Linear Algebra
● Education: If BS then 2-3 years of experience in at least one of the ML areas mentioned above.
● Prior experience and basic concepts from cybersecurity field.
● Excellent speaking and writing English skills

Good to know

  • Competitive working conditions
  • Full time employment
  • Flexible working schedule and possibility to work from home
  • Personal and professional career development, and payed certifications
  • Private health insurance
  • Innovative projects with prestigious international customers
  • Team building activities to support team oriented culture
  • Friendly team of helpful colleagues where knowledge sharing is everyday routine
  • Coffee, Refreshments and Fruits