{"id":1266335,"url":"https://alion.io/job/ekfrazo-technologies-private-limited-research-engineer-ai-security","title":"Research Engineer - AI Security","company":{"id":3800102,"name":"Ekfrazo Technologies","domain":"ekfrazo.in","url":"https://alion.io/company/ekfrazo-technologies-private-limited","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"LLM","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-09-05T07:36:01Z","employer_posted_date":null,"last_verified_at":"2026-09-05T07:36:01Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Role : Research Engineer - AI Security\n\nLocation : Bengaluru, India\n\nFunction : AI Security - Technology & Innovation Centre (TIC)\n\nEmployment Type : Full-time\n\nRole Purpose : \n\nThe 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 systems.\n\nKey Responsibilities : \n\n- Design and implement reproducible experiment pipelines for AI security research.\n\n- Build automation frameworks for benchmarking, ablation studies, and large-scale model evaluations.\n\n- Develop experimental benches for model fingerprinting, mechanistic analysis, unlearning, and provenance.\n\n- Translate research prototypes into engineering-grade proof-of-concepts and reusable components.\n\n- Collaborate with applied researchers, backend engineers, and MLOps teams to enable deployment-ready solutions.\n\n- Maintain experiment tracking, versioning, and validation to ensure reliability and auditability.\n\n- Contribute to technical documentation, evaluation reports, and research artefacts.\n\nRequired Qualifications & Experience : \n\nEducation : \n\n- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related engineering discipline.\n\nExperience : \n\n- 3 - 6+ years of experience in research engineering, ML engineering, or experimentation-heavy roles.\n\n- Hands-on experience supporting AI/ML research with scalable engineering systems.\n\nRequired Technical Skills : \n\n- Strong proficiency in Python and deep learning frameworks such as PyTorch.\n\n- Experience working with large language models, fine-tuning workflows, and adapter-based methods (e.g., LoRA).\n\n- Understanding of model internals including parameters, activations, embeddings, and output distributions.\n\n- Experience with experiment tracking, benchmarking, and reproducible research workflows.\n\n- Familiarity with AI security, ML robustness, model analysis, or privacy-related techniques is desirable.\n\nSuccess Indicators : \n\n- Delivery of reliable, repeatable experimental infrastructure supporting AI security research.\n\n- Effective enablement of applied researchers through automation and tooling.\n\n- Successful transition of research outputs into deployable proof-of-concepts or platform components\nSkills\nR&D - 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