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Tier-1 employer and Bangalore metro, but senior specialized principal ML role limits generalist applicant competition.
Highly domain-specific ML, agents, and trust-and-safety expertise required, limiting cross-industry transferability.
Requires deep ML specialization, production model experience, and technical leadership, so filters will be strict.
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Lead scientific initiatives in foundation models, behavioral modeling, anomaly detection, threat modeling, and agentic systems within Microsoft Advertising AI.
Own end-to-end development from problem formulation to production, focusing on uncertainty modeling and decision intelligence across models and human review workflows.
Provide technical leadership and mentorship influencing AI-driven trust and safety system architectures with measurable product impact.
Bachelor’s, Master’s, or Doctorate in Computer Science, Mathematics, Statistics, Electrical Engineering, Operations Research, or related quantitative field with industry or research experience.
Expertise in probability, statistics, linear algebra, optimization, experimental design, and statistical decision theory.
Strong machine learning background including foundation/representation learning, behavioral and temporal modeling, anomaly detection, and experience with large-scale models (xxx B parameters).
Proficient in Python and ML frameworks like PyTorch, JAX, or TensorFlow with demonstrated ability to deploy scientific ideas into production impact.
Experienced in modeling uncertainty in production decision systems and threat/abuse detection within adversarial environments.
Skilled in developing scalable learning systems for complex behavioral, temporal, and relational data across multiple products and markets.
Proven technical leader with prior mentorship and contribution to AI system architecture, especially related to trust, safety, and decision intelligence.