Senior ML Engineer

ppBased in Piacenza, and Turin ( on 1st Sept. 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). /p pOur 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. /p pWe are deeply committed to continuous improvement, not just in our products, but also in our internal processes and, most importantly, in ourselves. Do you possess the passion and talent to help us grow, innovate, and redefine what's possible? Apply now! /p h3The Role: Senior Machine Learning Engineer /h3 pAs a Senior Machine Learning Engineer, you will be responsible for designing, developing, and deploying robust and scalable AI solutions exploiting custom machine learning models. /p pIn 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. /p h3Key Responsibilities: /h3 ul liDesign, develop and deploy ML models/solutions to solve real-world business problems. /li liOptimize, validate and monitor model performance in production, ensuring reliability and efficiency. /li liDevelop and maintain robust data pipelines and processing workflows to handle large volumes of data effectively. /li liAnalyze large-scale volumes of data, identifying patterns and anomalies. /li liCollaborate effectively intra- and cross-team to translate cybersecurity challenges into ML-driven solutions. /li /ul h3What We’re Looking For: /h3 ul lio3+ years of experience in training, deploying and testing ML/AI models. /li libTechnical Knowledge: /b /li liSolid understanding of computer science principles, machine learning algorithms, and data structures. /li liStrong proficiency in Python. /li liExperience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. /li liFamiliarity with data manipulation and analysis libraries (e.g., Pandas, NumPy). /li liExperience with version control systems (e.g., Git). /li liExperience with container technology (e.g. Docker). /li liExcellent problem-solving skills and attention to detail. /li liFluency in spoken and written English /li liProven ability to work both autonomously and as a highly effective, constructive member of a collaborative team. /li liInitiative when working independently, managing tasks effectively. /li liStrong communication skills, enabling seamless interaction with designers, developers, and product stakeholders. /li liA proactive and problem-solving mindset, eager to tackle complex challenges. /li /ul h3Nice If You Have: /h3 ul liPrevious experience with Agentic AI or Large Language Models (LLMs). /li liExperience 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. /li liCybersecurity background. /li liKnowledge of big data technologies (e.g., Spark, Hadoop). /li /ul h3What We Offer /h3 pWe believe in fostering a supportive and enriching work environment. Here’s how we invest in our team: /p ul liClear Career Progression: Together, we’ll define a clear career path that aligns with your ambitions, leverages your skills, and capitalizes on opportunities within our expanding organization. /li liFlexible Working Hours: We trust our team. There's no clocking in or out; we offer genuine flexibility to help you manage your work-life balance effectively. /li liHybrid 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. /li liPerformance-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. /li /ul /p #J-18808-Ljbffr