Senior ML Engineer

About Us Based in Piacenza, Italy, 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. Do you possess the passion and talent to help us grow, innovate, and redefine what's possible? Apply now The Role: Mid/Senior Machine Learning Engineer As a Mid/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. Key Responsibilities: ·      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. What We’re Looking For: •    Experience: o  3+ years of experience in training, deploying and testing ML/AI models. •    Technical Knowledge: 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  Excellent problem-solving skills and attention to detail. o  Fluency in spoken and written English •    Soft Skills: o  Proven ability to work both autonomously and as a highly effective, constructive member of a collaborative team . o  Initiative when working independently, managing tasks effectively.  o  Strong communication skills, enabling seamless interaction with designers, developers, and product stakeholders. o  A proactive and problem-solving mindset , eager to tackle complex challenges. Nice If You Have: 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). What We Offer We believe in fostering a supportive and enriching work environment. Here’s how we invest in our team: ·     Clear 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. ·     Flexible 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. ·     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.