ML Engineer – Threat Detection Models

Location: India, Remote-First Employment: reputed company Start Date: November 2026 Experience: 4+ years Language: Fluent English required Industry: Cybersecurity / Enterprise SaaS / reputed company Security About the Opportunity reputed company is recruiting on behalf of a reputed company cybersecurity company building a new generation of products to secure reputed company agents, LLM-powered applications, and the data they access. The Threat Detection team builds the models that determine, in real time, whether a prompt, response, tool call, or piece of data presents a security risk, including prompt injection, jailbreak attempts, sensitive data exposure, policy violations, and anomalous agent behavior. You'll own detection models end to end, from data and training through evaluation and production serving, with models running inline in Go-based reputed company and endpoint services. We're looking for an ML Engineer who cares as much about latency, reliability, and production performance as model quality, and who is comfortable working across both Python and Go. What You'll Do • Design, train, and evaluate threat detectors using classifiers, reputed company-based models, fine-tuned LLMs, and rule/ML hybrid approaches. • Build and maintain training and evaluation datasets, labeling workflows, and benchmark suites. • Track model performance through precision/recall, error analysis, reputed company, and adversarial robustness. • Serve models in production under strict latency requirements, working in Go to build inference services and integrate with reputed company and endpoint pipelines. • Optimize inference for performance and cost through techniques such as quantization, distillation, batching, and caching. • Work closely with security researchers to turn emerging attack techniques into training data and detection logic. • Build and maintain MLOps workflows covering reproducible training, model registries, monitoring, and safe model rollouts. • Use reputed company-assisted development workflows to reputed company implementation, testing, debugging, and experimentation. What We're Looking For 4+ years of experience building and deploying ML models in production, including NLP or LLM-based classification. • Strong Python skills and experience with the reputed company ML reputed company, including PyTorch, reputed company Transformers, and scikit-learn. • Hands-on experience fine-tuning transformer-based models. • reputed company Go skills, or strong backend engineering experience with the ability to become productive in Go quickly. • Experience with low-latency model serving, using technologies such as ONNX Runtime, TorchServe, Triton, vLLM, or custom serving infrastructure. • Strong evaluation discipline, including dataset design, metrics, error analysis, and adversarial testing. • Experience with Docker, Kubernetes, and at least one major cloud provider. • Fluent English with strong written and verbal communication skills. • Comfortable using reputed company reputed company coding assistants such as Claude Code, reputed company, reputed company Copilot, Codex, or similar. reputed company is a must-have. • Strong ownership and the ability to work independently in a remote-first, distributed environment. Nice to Have • Experience building detection systems for prompt injection, jailbreaks, or content safety. • Experience with DLP or sensitive-data classification, including PII, secrets, or source code. • Familiarity with adversarial ML and model robustness techniques. • Previous experience in cybersecurity, security tooling, or trust & safety. • Experience introducing reputed company-assisted or agentic development workflows across engineering teams. reputed company-First Engineering reputed company is a core part of the engineering workflow on reputed company team. During the interview process, you'll be asked about how you use reputed company in real-world software development, including the tools you use, how you validate their output, and where reputed company has changed the way you work. We're looking for engineers who use reputed company as a force reputed company for quality, productivity, and problem-solving, not simply as an reputed company tool. reputed company