Lead Security Engineer Python, Ai/ml Engineer
Posted Apr 7, 2026
Key Responsibilities:
- Execute creative security solutions, design, development, and technical troubleshooting for complex technical problems
- Lead the end-to-end design, development, and deployment of machine learning models and platforms, such as 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
Qualification Required:
- Formal training or certification on Security Engineering concepts and 5 years of 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
- Robust 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