Company Description UAE-based ZySec AI provides cutting-edge cybersecurity solutions to help enterprises tackle evolving security challenges at scale. Utilizing an autonomous AI workforce, ZySec AI enhances operational efficiency by automating repetitive, resource-intensive tasks, enabling security teams to focus on strategic priorities. Our mission is to make AI more efficient, accessible, and private for security professionals.mWe're building the future of Autonomous Data Intelligence at CyberPod AI and were looking for a deeply technical, hands-on AI Engineer to push the boundaries of whats possible with Large Language Models (LLMs). This role is for someone whos already been in the trenches: fine-tuned foundation models, experimented with quantization and performance tuning, and knows PyTorch inside out. If youre passionate about optimizing LLMs, crafting efficient reasoning architectures, and contributing to open-source communities like Hugging Face, this is your playground. Role Description Fine-tune Large Language Models (LLMs) on custom datasets for specialized reasoning tasks. Design and run benchmarking pipelines across accuracy, speed, token throughput, and energy efficiency. Implement quantization, pruning, and distillation techniques for model compression and deployment readiness. Evaluate and extend agentic RAG (Retrieval-Augmented Generation) pipelines and reasoning agents. Contribute to SOTA model architectures for multi-hop, temporal, and multimodal reasoning. Collaborate closely with the data engineering, infra, and applied research teams to bring ideas from paper to production. Own and drive experiments, ablations, and performance dashboards end-to-end. Requirements Hands-on experience working with deep learning and large models, particularly LLMs. Strong understanding of PyTorch internals: autograd, memory profiling, efficient dataloaders, mixed precision. Proven track record in fine-tuning LLMs (e.g., LLaMA, Falcon, Mistral, Open LLaMA, T5, etc.) on real-world use cases. Benchmarking skills: can run standardized evals (e.g., MMLU, GSM8K, HELM, TruthfulQA) and interpret metrics. Deep familiarity with quantization techniques: GPTQ, AWQ, QLoRA, bitsandbytes, and low-bit inference. Working knowledge of Hugging Face ecosystem (Transformers, Accelerate, Datasets, Evaluate). Active Hugging Face profile with at least one public model/repo published. Experience in training and optimizing multi-modal models (vision-language/audio) is a big plus. Published work (arXiv, GitHub, blogs) or open-source contributions preferred. If you are passionate about AI and want to be a part of a dynamic and innovative team, then ZySec AI is the perfect place for you. Apply now and join us in shaping the future of artificial intelligence. Show more Show less

This is a full-time on-site role for a User Experience Designer at ZySec AI in Hyderabad. The User Experience Designer will be responsible for tasks such as design thinking, user research, visual design, UX design, and prototyping to create a seamless and engaging experience for security professionals on the platform. Qualifications Design Thinking and User Research skills Visual Design expertise User Experience (UX) design proficiency Prototyping experience, figma designs, Adobe XD Strong understanding of user-centered design principles Ability to collaborate effectively with cross-functional teams Experience with cybersecurity or related industries is a plus Bachelor's degree in Design, Human-Computer Interaction, or related field Show more Show less

This is a full-time on-site role for a Senior Python Developer located in Hyderabad. The Senior Python Developer will be responsible for back-end web development, software development, and working with databases. Day-to-day tasks will include designing, coding, and debugging applications in Python, ensuring robust and scalable software architecture, and collaborating with cross-functional teams to integrate software components. The candidate will also maintain code quality, organization, and automation while adhering to best software development practices. Qualifications Proficiency in Back-End Web Development and Software Development 5 plus years experience with python development. Strong knowledge of Object-Oriented Programming (OOP) and Programming Experience with databases and data modeling Excellent problem-solving skills and attention to detail Ability to work collaboratively in a team environment Bachelor’s or master’s degree in Computer Science, Engineering, or related field Familiarity with cybersecurity principles is a plus Prior experience with AI-driven projects is advantageous Show more Show less