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Senior Machine Learning Engineer (AppSec)

Senior Machine Learning Engineer (AppSec)

Black DuckJodhpur, IN
9 days ago
Job description

Senior Machine Learning Engineer – AI for AppSec Products

Role Summary :

As a Senior Product-focused Machine Learning Engineer , Research , design, development, and deployment of advanced LLM-powered systems that secure enterprise software development lifecycles. Work bridges cutting-edge AI research and scalable product delivery, driving innovation in AppSec / cybersecurity tooling used across large-scale production environments.

your work bridges foundational AI research and product deployment, with close collaboration alongside engineering and product teams.

Y ou will Research, Build LLM-integrated systems for vulnerability detection, open source risk analysis, and secure software supply chain intelligence . Driving end-to-end development of models and infrastructure deployed in CI / CD pipelines.

You have led the development of patented copilots, vulnerability fuzzers, and intelligent code analyzers built on LLMs, now integrated into secure SDLC pipelines and used across large-scale production environments.

Job Location : Black Duck, Bangalore (Opp Christ University, Near Diary Circle)

Experience Level : 5+ Years

Mode of work : Hybrid (3 Days WFO)

Key Responsibilities :

  • Research, Architect, Design and scale LLM-based copilots, vulnerability fuzzers, and intelligent code analyzers for secure SDLC integration.
  • Involved in end-to-end development of patented AI systems, from prototyping to production deployment.
  • Collaborate cross-functionally with cross geo engineering, product, and security teams to align AI capabilities with strategic goals.
  • Translate foundational research into robust, enterprise-ready solutions with measurable impact.
  • Take initiatives across AI and cybersecurity.
  • Ensure compliance with secure coding, model governance, and responsible AI practices.

Technologies & Tools :

  • Programming : Python (must), plus experience with C / C++ or Rust for low-level security tools.
  • ML / AI Tools : PyTorch, TensorFlow, Scikit-learn, Open AI, Hugging Face.
  • Security Tools : Experience with fuzzers (e.g., AFL, lib Fuzzer), SAST / DAST tools, or custom analyzers.
  • Cloud & DevOps : AWS / GCP / Azure, Docker, Kubernetes, GitHub Actions.

    • Impact Highlights :

  • Delivered LLM-powered copilots adopted across multiple enterprise environments, improving developer productivity and code security.
  • Developed intelligent fuzzers and analyzers that proactively detect vulnerabilities, reducing triage and remediation time.
  • Contributed to patented AI systems now embedded in production pipelines, enhancing resilience and compliance.
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    Senior Machine Learning Engineer • Jodhpur, IN