Company Name

IBM ( Bangalore )

Job Description

• Job Description:

  We are looking for a hands-on AI/ML Infrastructure Engineer with deep expertise in C++, Python, and build automation. This role is essential in enabling scalable, reliable, and high-performance development and deployment workflows for advanced AI/ML components. You will lead the design and maintenance of automation pipelines, build systems, and deployment environments?especially across Linux and IBM z/OS platforms.

  You will collaborate closely with AI researchers, system architects, and mainframe engineers to ensure seamless integration and delivery of mission-critical AI/ML systems.

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  Key Responsibilities

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

  • Develop tools and scripts that accelerate iteration, testing, and deployment for engineers and researchers.

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

  • Lead efforts to create portable, reproducible development environments that match production infrastructure.

  • Maintain and extend CI/CD pipelines on Linux and z/OS, emphasizing testing, artifact handling, and release validation.

  • Proactively monitor build and deployment systems to improve reliability, performance, and automation coverage.

  • Collaborate with cross-functional teams to align infrastructure goals with broader AI/ML and system architecture strategies.

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

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  Required Technical & Professional Expertise

  • Strong programming skills in C++ and Python.

  • Expertise with CI/CD tools such as Jenkins, GitLab CI, or similar.

  • Experience with build systems like CMake, Make, Meson, or Ninja, including cross-compilation.

  • Multi-platform development experience, particularly on Linux and IBM z/OS.

  • Proficiency in integrating native code with Python (e.g., using pybind11 or Cython).

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

  • Proficient in shell scripting (Bash, Zsh).

  • Familiarity with Docker or other container technologies for development and deployment.

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  Preferred Technical & Professional Experience

  • Working knowledge of AI/ML frameworks (e.g., PyTorch, TensorFlow, ONNX).

  • Experience with z/OS build and packaging workflows and maintaining codebases for IBM mainframes.

  • Understanding of system performance tuning in compute- or I/O-intensive environments.

  • Experience with GPU computing and low-level performance profiling/debugging.

  • Familiarity with managing long-lifecycle enterprise systems with backward/forward compatibility.

  • Contributions to open-source projects in infrastructure, DevOps, or AI tooling.

  • Knowledge of microservices, distributed systems, and REST APIs.

  • Experience in MLOps integration, connecting model development with CI/CD pipelines.

  • Strong communication skills and ability to explain technical concepts to non-technical audiences.

  • Proven record of maintaining code quality, performance, and security standards in AI projects.

  • Demonstrated ability to ensure compliance with industry best practices in AI engineering.

  • Strong interpersonal skills with a track record of cross-team collaboration.

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