Senior Analyst, AI Enablement
FedEx Express Poland sp. z o.o.
⚲ Kraków
Do uzgodnienia
Wymagania
- Python
- Bash
- Vertex AI
- GitHub Actions
Opis stanowiska
Nasze wymagania:
Strong, hands-on experience as a machine learning engineer, data scientist, or software developer with a focus on AI.
Proficiency with ML development tools (e.g., Vertex AI, open-source ML frameworks) and modern software development practices.
Experience with scripting and automation (e.g., Python, Bash).
Knowledge of how to source, clean, and prepare data for model training and evaluation.
Familiarity with integrating systems via APIs, particularly for security tools like SIEM, SOAR, or EDR.
A proactive mindset with the ability to independently drive technical projects from concept to completion.
Desirable: Experience with MLOps and CI/CD tools (e.g., GitHub Actions, Cloud Build).
O projekcie:
We have an exciting opportunity for you to join our team as a Senior Analyst, AI Enablement. As a Senior Analyst on the AI Enablement team, you will be a key implementer of our AI security automation strategy. You will be responsible for the hands-on development of bespoke AI models and agents that solve critical challenges for the Information Security organization. This role involves working with cutting-edge tools to engineer AI solutions, leading technical implementation, and mentoring junior team members.
Zakres obowiązków:
Lead the hands-on development for AI Agent Construction, building and maintaining specialized agents for tasks like automated alert triage.
Implement and document processes for Custom Model Training, including data preparation, fine-tuning, and evaluation of AI models tailored to specific InfoSec needs.
Build the technical framework for integrating our AI tools with other security platforms by utilizing the APIs of SIEM, SOAR, and EDR systems.
Lead the lifecycle ownership for specific AI agents and tools, ensuring they are delivered and maintained as functional and reliable solutions for internal InfoSec teams.
Act as a key resource and point of escalation for complex technical challenges related to model development and agent behavior.
Mentor junior analysts, conduct code reviews, and promote engineering best practices within the team.
Oferujemy:
Attractive compensation package
Training to get you started and on-the-job learning opportunities
Extensive learning resources to further develop your skills and knowledge
Tuition Assistance Program
Employee Assistance Program for you and your family in difficult life situations
Employee reduced-rate shipping
Great career opportunities
FedEx is one of the worlds most admired companies and trusted brands year after year
Strong, hands-on experience as a machine learning engineer, data scientist, or software developer with a focus on AI.
Proficiency with ML development tools (e.g., Vertex AI, open-source ML frameworks) and modern software development practices.
Experience with scripting and automation (e.g., Python, Bash).
Knowledge of how to source, clean, and prepare data for model training and evaluation.
Familiarity with integrating systems via APIs, particularly for security tools like SIEM, SOAR, or EDR.
A proactive mindset with the ability to independently drive technical projects from concept to completion.
Desirable: Experience with MLOps and CI/CD tools (e.g., GitHub Actions, Cloud Build).
O projekcie:
We have an exciting opportunity for you to join our team as a Senior Analyst, AI Enablement. As a Senior Analyst on the AI Enablement team, you will be a key implementer of our AI security automation strategy. You will be responsible for the hands-on development of bespoke AI models and agents that solve critical challenges for the Information Security organization. This role involves working with cutting-edge tools to engineer AI solutions, leading technical implementation, and mentoring junior team members.
Zakres obowiązków:
Lead the hands-on development for AI Agent Construction, building and maintaining specialized agents for tasks like automated alert triage.
Implement and document processes for Custom Model Training, including data preparation, fine-tuning, and evaluation of AI models tailored to specific InfoSec needs.
Build the technical framework for integrating our AI tools with other security platforms by utilizing the APIs of SIEM, SOAR, and EDR systems.
Lead the lifecycle ownership for specific AI agents and tools, ensuring they are delivered and maintained as functional and reliable solutions for internal InfoSec teams.
Act as a key resource and point of escalation for complex technical challenges related to model development and agent behavior.
Mentor junior analysts, conduct code reviews, and promote engineering best practices within the team.
Oferujemy:
Attractive compensation package
Training to get you started and on-the-job learning opportunities
Extensive learning resources to further develop your skills and knowledge
Tuition Assistance Program
Employee Assistance Program for you and your family in difficult life situations
Employee reduced-rate shipping
Great career opportunities
FedEx is one of the worlds most admired companies and trusted brands year after year
🔍 Dekoder Ogłoszenia
🔴
Senior Analyst, AI Enablement
Tytuł sugeruje rolę analityczną, ale opis wskazuje na głębokie zaangażowanie w inżynierię i rozwój modeli AI, co może być bardziej rolą inżynierską niż czysto analityczną.
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key implementer of our AI security automation strategy
Podkreśla znaczenie roli, ale może oznaczać, że będziesz głównie wdrażać istniejące strategie, a nie aktywnie je tworzyć od podstaw.
🟡
hands-on development of bespoke AI models and agents
Sugeruje tworzenie unikalnych rozwiązań, ale może oznaczać również pracę nad istniejącymi, choć modyfikowanymi, modelami, a nie budowanie wszystkiego od zera.
🟡
leading technical implementation
Wskazuje na przywództwo techniczne, ale może oznaczać nadzór nad wdrożeniem, a niekoniecznie samodzielne kodowanie i rozwiązywanie wszystkich problemów technicznych.
🟡
mentoring junior team members
Oznacza odpowiedzialność za rozwój innych, co może pochłaniać znaczną część czasu przeznaczonego na własne zadania techniczne.