Staff Machine Learning Engineer

Role 

We are looking for a Staff Machine Learning Engineer to join our Exposure Management & Security Operations team. This role is a hybrid position based in Bangalore, reporting to the Sr. Manager, Engineering Strategy, Planning & Analytics. You will join the team that built the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that serves over 15 million users globally. Your vision and passion will be critical as we continue to innovate and enable organizations to harness the speed and agility of a cloud-first strategy.

What you’ll do (Role Expectations)

• Designing and deploying scalable, reliable, and efficient production-grade Gen AI/ML systems from data ingestion to monitoring
• Driving innovation by researching and evaluating emerging AI/ML frameworks, rapidly prototyping novel solutions, and championing full-scale implementation
• Implementing and maintaining robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems
• Leading and mentoring junior engineers in system design best practices and promoting technical excellence
• Collaborating with cross-functional teams to translate complex business needs into technical solutions

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing dynamic environments as the raw material to build something meaningful.
• You act like an owner with a passion for the mission and a bias for action, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You are a learner with a growth mindset, actively seeking feedback to become a better partner and a stronger teammate.
• You are driven by innovation and have a deep curiosity for how things work, believing in the power of technology to accelerate transformation.

What We’re Looking for (Minimum Qualifications)

• At least 5 years of experience as a Machine Learning Engineer with a track record of shipping complex, scalable ML systems to production
• Proven experience building Gen AI/ML systems with LLMs, fine-tuning, Retrieval-Augmented Generation (RAG), and Agentic AI in production environments
• Experience designing and implementing distributed ML systems with deep knowledge of MLOps, including monitoring and logging
• Strong computer science foundation in data structures, algorithms, and system design with expertise in Python and SQL
• Excellent communication and interpersonal skills to partner effectively across global engineering teams

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