Company Name

IBM ( Bangalore )

Job Description

• Job Description:

  We are seeking a hands-on AI/ML Infrastructure Engineer to design, automate, and maintain robust build systems and deployment pipelines for AI/ML components. This role involves direct software development in C++ and Python while supporting infrastructure for model training and high-performance inference systems. The ideal candidate is a strong systems engineer with deep cross-platform experience, especially in Linux and IBM z/OS environments.

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  Key Responsibilities:

  • Design and implement build automation systems for large, distributed AI/C++/Python codebases.

  • Develop tools/scripts to support rapid development, testing, and deployment across diverse environments.

  • Integrate C++ components with Python-based AI workflows using tools like pybind11 or Cython.

  • Lead the creation of portable, reproducible dev environments, ensuring parity between dev and prod.

  • Maintain and extend CI/CD pipelines (Jenkins, GitLab CI) for Linux and z/OS.

  • Automate testing, artifact management, and release validation processes.

  • Monitor and improve build performance and system reliability.

  • Collaborate with AI researchers, architects, and mainframe engineers to align infrastructure with goals.

  • Contribute to internal documentation, knowledge sharing, and process optimization.

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  Required Education:

  • Bachelor?s Degree in Computer Science, Engineering, or related field.

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  Required Technical and Professional Expertise:

  • Strong programming in C++ and Python.

  • Deep understanding of compiled vs. interpreted languages.

  • Experience with CI/CD tools like Jenkins or GitLab CI.

  • Proficient in build tools: CMake, Make, Meson, Ninja.

  • Experience with Linux and IBM z/OS development.

  • Integration of C++ with Python via pybind11, Cython, etc.

  • Strong troubleshooting skills for build-time and runtime issues.

  • Shell scripting (Bash, Zsh) and system-level operations.

  • Familiarity with Docker or other containerization tools.

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  Preferred Technical and Professional Experience:

  • Experience with AI/ML frameworks: PyTorch, TensorFlow, ONNX.

  • Background in IBM z/OS mainframe software development.

  • Understanding of z/OS packaging workflows.

  • Knowledge of system performance tuning in high-throughput compute environments.

  • Familiarity with GPU computing, low-level profiling/debugging tools.

  • Experience with distributed systems, microservices, and REST APIs.

  • Contributions to open-source projects (infra, DevOps, AI tooling).

  • MLOps experience: integrating AI/ML models with CI/CD pipelines into production workflows.

  • Understanding of security, compliance, and coding standards in AI engineering.

  • Proven track record of high-quality code delivery, effective cross-team communication, and stakeholder collaboration.

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