2026) in Italy and Dubai in UAE , we are a dynamic and fast-growing company driven by the passion and dedication of our exceptional team. We are specialized in developing cutting-edge device management ( Unified Endpoint Management ) and cybersecurity solutions ( Mobile Threat Defense ).
Our commitment to excellence has earned us recognition in the prestigious Gartner Hype Cycles – a significant achievement that fuels our continuous drive to innovate, explore new technologies, and tackle ambitious challenges.
We are deeply committed to continuous improvement, not just in our products, but also in our internal processes and, most importantly, in ourselves. The Role: Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying robust and scalable AI solutions exploiting custom machine learning models.
In your role you will be tasked to translate cybersecurity challenges into innovative ML/AI solutions, contributing to the product and protection offered to our clients.
Design, develop and deploy ML models/solutions to solve real-world business problems.
· Optimize, validate and monitor model performance in production, ensuring reliability and efficiency.
· Develop and maintain robust data pipelines and processing workflows to handle large volumes of data effectively.
· Analyze large-scale volumes of data, identifying patterns and anomalies.
· Collaborate effectively intra- and cross-team to translate cybersecurity challenges into ML-driven solutions.
Experience:
o 3+ years of experience in training, deploying and testing ML/AI models.
• o Solid understanding of computer science principles , machine learning algorithms , and data structures.
o Strong proficiency in Python .
o Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
o Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
o Experience with version control systems (e.g., Git).
o Experience with container technology (e.g. Docker).
o Fluency in spoken and written English
• o Strong communication skills, enabling seamless interaction with designers, developers, and product stakeholders.
o Previous experience with Agentic AI or Large Language Models (LLMs).
o Experience with cloud platforms (e.g., AWS, GCP, Azure) for deployment and management of ML models, as well as the implementation of robust data pipelines for efficient data ingestion, processing, and storage.
o Cybersecurity background.
o Knowledge of big data technologies (e.g., Spark, Hadoop).
Flexible Working Hours: We trust our team. we offer genuine flexibility to help you manage your work-life balance effectively.
· Hybrid & Remote Work Options: Enjoy the freedom to work from home or in our offices, depending on your preference and team needs. While we embrace flexibility, we also value in-person connection, and our offices are always open for collaborative sessions or casual meetups.
· Performance-Based Incentives: Your hard work doesn’t go unnoticed. We reward your significant contributions with a robust bonus system tied to collective and individual results.
Fringe Benefits
or continue with email
Our commitment to excellence has earned us recognition in the prestigious Gartner Hype Cycles – a significant achievement that fuels our continuous drive to innovate, explore new technologies, and tackle ambitious challenges.
We are deeply committed to continuous improvement, not just in our products, but also in our internal processes and, most importantly, in ourselves. The Role: Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying robust and scalable AI solutions exploiting custom machine learning models.
In your role you will be tasked to translate cybersecurity challenges into innovative ML/AI solutions, contributing to the product and protection offered to our clients.
Design, develop and deploy ML models/solutions to solve real-world business problems.
· Optimize, validate and monitor model performance in production, ensuring reliability and efficiency.
· Develop and maintain robust data pipelines and processing workflows to handle large volumes of data effectively.
· Analyze large-scale volumes of data, identifying patterns and anomalies.
· Collaborate effectively intra- and cross-team to translate cybersecurity challenges into ML-driven solutions.
Experience:
o 3+ years of experience in training, deploying and testing ML/AI models.
• o Solid understanding of computer science principles , machine learning algorithms , and data structures.
o Strong proficiency in Python .
o Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
o Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
o Experience with version control systems (e.g., Git).
o Experience with container technology (e.g. Docker).
o Fluency in spoken and written English
• o Strong communication skills, enabling seamless interaction with designers, developers, and product stakeholders.
o Previous experience with Agentic AI or Large Language Models (LLMs).
o Experience with cloud platforms (e.g., AWS, GCP, Azure) for deployment and management of ML models, as well as the implementation of robust data pipelines for efficient data ingestion, processing, and storage.
o Cybersecurity background.
o Knowledge of big data technologies (e.g., Spark, Hadoop).
Flexible Working Hours: We trust our team. we offer genuine flexibility to help you manage your work-life balance effectively.
· Hybrid & Remote Work Options: Enjoy the freedom to work from home or in our offices, depending on your preference and team needs. While we embrace flexibility, we also value in-person connection, and our offices are always open for collaborative sessions or casual meetups.
· Performance-Based Incentives: Your hard work doesn’t go unnoticed. We reward your significant contributions with a robust bonus system tied to collective and individual results.
Fringe Benefits
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