Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

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    Company

    Cosmina BartosTalent Acquisition Specialist

    Email
    Phone
    LinkedIn

    Ref nr

    3982


    Locations

    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