We have an exciting opportunity for you to advance your cybersecurity and AI engineering career. Join us to build innovative, secure solutions that protect and empower our business.
As a Lead Security Engineer within the Cybersecurity & Tech Controls team, you are an integral part of an agile team delivering trusted, tamper-proof technology solutions across multiple technical areas. You collaborate to create secure AI platforms and prevent misuse, ensuring compliance and resilience for the firm's business objectives.
Job responsibilities
- Execute creative security solutions, design, development, and technical troubleshooting to build and break down complex technical problems
- Lead the end-to-end design, development, and deployment of machine learning models and platforms, including LLMs, GANs, and recommendation engines
- Develop and maintain scalable cloud-native applications on AWS, Azure, or Google Cloud
- Build robust APIs for integrating machine learning models and backend systems
- Collaborate with cross-functional teams for model experimentation and solution integration
- Implement cybersecurity controls to safeguard AI workflows and ensure compliance
Required qualifications, capabilities, and skills
- Formal training or certification on Security Engineering concepts and 5+ years applied experience
- Advanced proficiency in Python and relevant libraries (Pandas, NumPy)
- Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, Flask
- Expertise in cloud and DevOps technologies, including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab
- Skilled in working with databases such as MySQL, MongoDB, PostgreSQL, and NoSQL systems
- Strong background in data science and AI, covering deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization
- Experience in secure coding, model validation, and data privacy
Preferred qualifications, capabilities, and skills
- Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration
- Familiarity with CI/CD pipelines and automation tools
- Knowledge of frontend frameworks (React, Next.js)
- Certifications in AI/ML, Kubernetes, AWS, or cybersecurity
