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Almaz Capital
Almaz Capital

Machine Learning Researcher (Cybersecurity)



Software Engineering
Stari Grad, Belgrad, Serbia
Posted on Thursday, February 1, 2024

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 looking for someone who is ready to join us in creating a #CyberFit future and protecting the digital world!

Acronis brings complete cyber protection solutions to its customers. As a Machine Learning Engineer, 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.

We’re looking for the next member of our “A-Team.” Are you a highly-motivated individual who thrives in a fast-paced and high-volume work environment? Do you possess a positive can-do, never-give-up attitude? Do you play nice with others on a team? Are you ready to make an impact?


  • 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.


  • 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

(Please send in your resume in English)


Acronis is revolutionizing cyber protection by unifying 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—all at a low and predictable cost.

Founded in Singapore in 2003 and incorporated in Switzerland in 2008, Acronis now has more than 2,000 employees and offices in over 45 locations worldwide. Its solutions are trusted by more than 5.5 million home users and 500,000 companies, and top-tier professional sports teams. Acronis products are available through over 50,000 partners and service providers in over 150 countries and 26 languages.

Our corporate culture is focused on making a positive impact on the lives of each employee and the communities in which we live. Mutual trust, respect, personal achievement, individual leadership, and a belief that we can contribute to the world everyday are the cornerstones of the Acronis Team.

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.