Lead Security Engineer

As Lead Security Engineer, you will design and optimize large-scale AI/ML platforms and LLM-powered applications.

You will lead the architecture of end-to-end solutions, integrate advanced cybersecurity measures, and collaborate with teams to deliver high-impact AI capabilities for enterprise environments.

Key Responsibilities


* Architect and deploy state-of-the-art LLM architectures (e.g., GPT, LLaMA, Mixtral) using techniques like LoRA and RLHF for domain-specific tasks.


* Develop advanced prompt engineering strategies and orchestrate LLM-powered applications using frameworks like LangChain or LlamaIndex.


* Design and manage data pipelines for collection, cleaning, and preparation of high-quality datasets.


* Implement Retrieval-Augmented Generation (RAG) systems, managing vector databases and embedding models.


* Build and maintain scalable, secure inference pipelines while continuously monitoring for model drift.


* Apply optimization techniques such as quantization and pruning to improve model efficiency.


* Ensure all AI solutions meet cybersecurity standards and compliance requirements.


* Stay current with advancements in NLP, transformer architectures, and generative AI research.

Required Skills


* Formal Training or certification with 5+ years of experience in high-impact AI capabilities for enterprise environments.


* Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, JAX).


* Strong understanding of transformer architectures, LLMs, and Hugging Face ecosystem.


* Hands-on experience with frameworks and libraries including TensorFlow, PyTorch, BERT/LLMs, Hugging Face, OpenCV, scikit-learn, SKLearn, Pandas, Flask, and React.


* Experience with cloud-based ML platforms (AWS Sage Maker, Google Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes).


* Hands-on experience designing and deploying RAG systems using Lang Chain, Llama Index, Pinecone, or Faiss.


* Expertise in secure model deployment, access control, and data governance.


* Excellent leadership, communication, and collaboration skills.

Preferred Skills


* Experience with multi-modal AI integration and advanced optimization techniques.


* Familiarity with CI/CD pipelines, automation tools, and frontend frameworks.


* Certifications in AI/ML, cloud platforms, Kubernetes, or cybersecurity.


* Advanced degree (master's or PhD) in Computer Science, AI, Data Science, or related field.


* Exposure to regulated industries and compliance frameworks.

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