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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in Others

  • Zscaler
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Develop and deploy machine learning models and Generative AI solutions, including agentic AI architectures.
  • Productionize AI agents involving multi-step reasoning, tool use, state management, and LLM orchestration.
  • Design LLMOps frameworks with observability, monitoring, logging, and evaluation for dynamic AI agents.
  • Optimize Generative AI pipelines and classical ML models through feature engineering and hyperparameter tuning.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.

Requirements

  • Require 3–5 years of related experience as a machine learning engineer with a track record of building and deploying ML systems.
  • Require hands-on experience with LLMs, Retrieval-Augmented Generation, and productionizing agentic AI systems.
  • Require strong understanding of MLOps and LLMOps monitoring, observability, and debugging challenges.
  • Require computer science fundamentals in data structures and algorithms, plus Python, scikit-learn, PyTorch or TensorFlow, and SQL expertise.
  • Require strong communication, interpersonal, independent-work, and teamwork skills.
  • Preferred experience includes AWS, GCP, Azure, Kubeflow, SageMaker, systems programming, or distributed systems.
  • Preferred candidates demonstrate interest in innovation through technical blogs, external papers, or industry knowledge-sharing.

Benefits

  • Hybrid work arrangement based in Bangalore.
  • Various health plans, vacation and sick time off plans, parental leave options, retirement options, education reimbursement, and in-office perks.

Zscaler

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