Analyst, AI Product Security & MLOps – Kraków, Poland | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

The role of Analyst, AI Product Security & MLOps at FedEx in Kraków is a Entry-Level (0–2 years) position designed for professionals eager to enter the intersection of AI security, DevSecOps, and MLOps engineering. This role supports the integration of security into AI product lifecycles, helping teams build safer, more resilient machine learning systems. The ideal candidate is technically curious, detail-oriented, and motivated to learn how enterprise-scale AI systems are secured and monitored in production environments within a global logistics technology leader.

🌍 Work Eligibility & Location

This role is based in Kraków, Poland, and is primarily aligned with Onsite / Hybrid collaboration expectations typical of enterprise security teams. While FedEx operates globally, the listing does not confirm visa sponsorship, so candidates should assume local work authorization is preferred. English proficiency is required due to cross-functional global collaboration across engineering, security, and AI teams.

💰 Salary Intelligence

The compensation is not publicly listed, which is common for global enterprise roles. Based on the Kraków market for AI security and MLOps entry roles, the estimated range of €35,000–€60,000 reflects competitive positioning within multinational logistics and tech-adjacent infrastructure teams. While not top-tier Big Tech compensation, the role offers strong long-term value through exposure to AI security systems and enterprise-scale MLOps pipelines.

📊 Role Breakdown

This position focuses on embedding security into AI workflows across the full MLOps lifecycle. You will assist in integrating security automation tools into CI/CD pipelines, ensuring that AI systems are developed under strict Secure-by-Design principles. A key part of the role involves supporting model monitoring systems that detect anomalies, vulnerabilities, and performance degradation in production machine learning systems.

Approximately 30% of your time is spent on security integration, where you help connect tools like scanning and validation frameworks into deployment pipelines. Around 25% is dedicated to monitoring and logging systems, ensuring AI models behave securely in real-world environments. Another 20% focuses on supporting developers by answering security-related queries and ensuring adherence to standards.

The remaining responsibilities include documentation, process improvement, and assisting in implementing Python-based automation and CI/CD workflows. Exposure to cloud environments and infrastructure-as-code tools is expected, though deep expertise is not required at entry level. This role provides hands-on experience in securing production AI systems at scale.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a moderately competitive entry-level role due to its positioning at the intersection of AI engineering and security operations. While the experience requirement is low, candidates with even small exposure to DevOps pipelines or cloud infrastructure will have a strong advantage. Competition is increasing as AI security becomes a critical enterprise priority.

🚀 Career Impact

This role offers strong long-term career value by placing you directly into AI infrastructure security, a rapidly expanding field. Exposure to enterprise-scale systems at FedEx significantly strengthens your profile for future roles in AI Security Engineering, MLOps Architecture, or advanced DevSecOps positions.

📋 Key Responsibilities

You will support the development of secure AI systems by contributing to CI/CD security automation, ensuring models follow secure deployment standards, and assisting in integrating monitoring tools into production pipelines. Key tasks include working with Python scripts for automation, supporting model validation processes, and maintaining documentation for secure AI workflows.

You will also assist in building model monitoring systems that track anomalies and security events in production AI environments. Collaboration with developers is central, requiring you to provide guidance on secure coding practices and ensure compliance with internal AI security frameworks. Additionally, you will contribute to improving MLOps pipelines and helping teams adopt consistent security practices across all AI products.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows high urgency due to active hiring across multiple AI security positions at FedEx. Competition is expected to increase as enterprises rapidly adopt secure AI pipelines and expand MLOps governance frameworks. Early applicants with relevant technical exposure have a stronger probability of interview selection.

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✅ Job Source & Verification

This listing is sourced directly from the official FedEx Careers portal, ensuring high credibility and authenticity. The job was last updated in May 2026, reflecting a recently active hiring cycle for AI security and MLOps roles within the FedEx Express Poland technology division. All details align with verified corporate job postings from FedEx global hiring infrastructure.