Research Lead - AI Security

Axiom Global; Bengaluru; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Axiom Global in Bengaluru is seeking an accomplished AI security researcher to lead advanced research in model behaviour, provenance, and unlearning. You will define experiments, design validation criteria, and guide multi-disciplinary teams to deliver rigorous, publishable results.

You will author papers and contribute to architecture decisions with the CTO, staying ahead of global research trends in AI security.

Qualifications

• PhD with strong research credentials in AI/ML, CS, Cybersecurity or related fields.
• 8–12+ years of AI/ML research or applied security research; proven leadership in research programs.
• Publications in top-tier conferences mandatory.

Responsibilities

• Lead deep technical research across AI security areas including model behaviour analysis, provenance, and unlearning.
• Define research hypotheses, experimental design, and validation criteria for differentiated AI security techniques.
• Drive development of proofs of concept, benchmarks, and experimental frameworks.
• Act as subject-matter expert for model fingerprinting, anomaly detection, derivation analysis, and unlearning verification.
• Review and guide work of applied researchers and research engineers to maintain scientific rigour.
• Contribute to system architecture discussions in collaboration with the CTO / Chief Scientist.
• Author and co-author technical papers, research reports, and intellectual property.
• Stay current with global research trends and continuously revalidate internal research direction.

Skills

LLMs fine-tuning

LoRA adapters

RAG / retrieval augmented generation

Model internals analysis

AI security techniques

Reproducible research

Fingerprinting

Backdoor detection

PyTorch

JAX

Education

PhD in CS/AI/ Cybersecurity

Tools

PyTorch

JAX

Job description

Key Responsibilities

• Lead deep technical research across AI security areas including model behaviour analysis, provenance, and unlearning.
• Define research hypotheses, experimental design, and validation criteria for differentiated AI security techniques.
• Drive development of proofs of concept, benchmarks, and experimental frameworks.
• Act as subject-matter expert for model fingerprinting, anomaly detection, derivation analysis, and unlearning verification.
• Review and guide work of applied researchers and research engineers to maintain scientific rigour.
• Contribute to system architecture discussions in collaboration with the CTO / Chief Scientist.
• Author and co-author technical papers, research reports, and intellectual property.
• Stay current with global research trends and continuously revalidate internal research direction.

Required Qualifications & Experience

1. Education :

• PhD (CS, AI/ML, Crypto, Cybersecurity) from Premier Institute with strong research credentials in AI/ML, Computer Science, Cybersecurity, or related fields.

2. Experience :

• 8 to 12+ years of experience in AI/ML research or applied security research.
• Proven experience leading research initiatives or acting as technical lead for complex research programs.
• Earlier Experience: R&D labs, Research projects, Product companies, AI Projects, Enterprise solutions, AI Engineering.
• Publications in top tier conferences (mandatory).

Required Technical Skills

• Strong expertise in large language models, fine-tuning, LoRA/adapters, and retrieval-augmented generation.
• Deep understanding of model internals including weight-space analysis, activation patterns, and interpretability.
• Hands-on experience with AI security techniques such as fingerprinting, backdoor detection, model similarity, and provenance analysis.
• Knowledge of model unlearning methods, verification techniques, and privacy assurance trade-offs.
• Proficiency with ML experimentation frameworks (e.g., PyTorch/JAX) and reproducible research workflows. .