About the Company Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn’t be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.
With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on. About the Project Our Client is a cybersecurity software company that specializes in network and cloud security policy management and automation. It’s platform helps large enterprises visualize, automate, and enforce consistent security policies across complex hybrid environments — including firewalls, cloud services, SASE, SD-WAN, and microsegmentation — while ensuring compliance and reducing risk.
This role combines excellent technical skills, driving multidisciplinary Data Science initiatives within complex, security policy management systems. The role drives the development of innovative, production-grade AI capabilities — including security AI agents and advanced machine learning models built on complex security data. Original thinking, deep technical rigor, intellectual agility, and exceptional problem-solving are essential. Required skills: * M.Sc. in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative discipline * At least 3 years of hands-on Data Science experience, delivering end-to-end solutions into production environments * Deep understanding of machine learning theory and practical model behavior * Expertise in Python and the modern Data Science ecosystem (NumPy, Pandas, Scikit-learn, PyTorch / TensorFlow, etc.) * Solid understanding of LLM architectures and fine-tuning methodologies * Excellent interpersonal skills and proven ability to work within multidisciplinary product teams * Strong analytical rigor and structured problem-solving capability
Scope of work: * Develop Data Science initiatives from problem definition through validation, production deployment, and monitoring of AI systems * Develop security-focused AI agents and reasoning systems * Develop advanced ML capabilities, including predictive modeling, anomaly detection, and classification * Adapt and fine-tune LLM technologies for domain-specific security use cases
