Ekfrazo Technologies - Research Engineer - AI Security in Bangalore, भारत

Role : Research Engineer - AI SecurityLocation : Bengaluru, IndiaFunction : AI Security - Technology & Innovation Centre (TIC)Employment Type : Full-timeRole Purpose : The Research Engineer - AI Security is responsible for building, automating, and scaling experimental infrastructure that enables rigorous, reproducible AI security research. The role focuses on experiment automation, benchmarking, and research-to-solution engineering to support secure, compliant, and trustworthy AI https://jobeax.com/link/LNO4qyefA3UlJa2l Responsibilities : - Design and implement reproducible experiment pipelines for AI security research.- Build automation frameworks for benchmarking, ablation studies, and large-scale model evaluations.- Develop experimental benches for model fingerprinting, mechanistic analysis, unlearning, and provenance.- Translate research prototypes into engineering-grade proof-of-concepts and reusable components.- Collaborate with applied researchers, backend engineers, and MLOps teams to enable deployment-ready solutions.- Maintain experiment tracking, versioning, and validation to ensure reliability and auditability.- Contribute to technical documentation, evaluation reports, and research https://jobeax.com/link/sZPMcqEevxgonboh Qualifications & Experience : Education : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related engineering https://jobeax.com/link/UCQB0qMJ1eELAh23 : - 3 - 6+ years of experience in research engineering, ML engineering, or experimentation-heavy roles.- Hands-on experience supporting AI/ML research with scalable engineering https://jobeax.com/link/XU98LZCDud62tiC7 Technical Skills : - Strong proficiency in Python and deep learning frameworks such as PyTorch.- Experience working with large language models, fine-tuning workflows, and adapter-based methods (e.g., LoRA).- Understanding of model internals including parameters, activations, embeddings, and output distributions.- Experience with experiment tracking, benchmarking, and reproducible research workflows.- Familiarity with AI security, ML robustness, model analysis, or privacy-related techniques is https://jobeax.com/link/H7bRXjIJ8eNdIqQ9 Indicators : - Delivery of reliable, repeatable experimental infrastructure supporting AI security research.- Effective enablement of applied researchers through automation and tooling.- Successful transition of research outputs into deployable proof-of-concepts or platform components (ref:hirist.tech)