AI Infrastructure Expert

Há 3 dias

São Paulo, São Paulo, Brasil beBeeMachine Tempo inteiro R$90.000 - R$135.000

Job Title

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As a Machine Learning Infrastructure Specialist, you will be crucial in ensuring the smooth operation and scalability of our AI initiatives through a variety of critical tasks:

  • Infrastructure Management:

    • You will be responsible for defining and proposing an infrastructure management stack that drives business objectives.

  • Troubleshooting and Optimization:

    • You will help identify and mitigate AI infrastructure issues and implement features to improve model training speed on specific hardware.

  • Platform Evaluation and Implementation:

    • You will evaluate and implement new AI training and development platforms.

  • Automation and Orchestration:

    • Your responsibilities will include automating model training and checkpointing using MLOps tools, and maintaining containerization tools (Docker, Singularity) for reproducibility.

  • Deployment and Lifecycle Management:

    • You will facilitate the transfer and replication of models from R&D to production environments, manage the model lifecycle, implement model tracking, and ensure infrastructure remains compatible with evolving training packages (e.g., CUDA, PyTorch, drivers).

Requirements:

  • 5+ years of hands-on experience with ML Ops tools such as SLURM, MLflow, Kubeflow, SageMaker, or Vertex AI.

  • Experience managing Kubernetes clusters and distributed training workloads at scale.

  • Proficiency with containerization (Docker, Singularity) and reproducible ML environments.

  • Familiarity with popular deep learning frameworks (PyTorch, TensorFlow) and how they operate at infra level.

  • Solid understanding of model lifecycle best practices (training, validation, deployment, tracking).

  • Strong scripting and automation skills in Python, Bash, or similar.

  • Comfort working closely with ML researchers to translate needs into scalable, production-grade systems.

  • A proactive mindset: you're excited to take ownership of infra problems others avoid.

Bonus Points:

  • Experience with multi-node, hardware-optimized training setups (e.g. GPU clusters, TPUs).

  • Contributions to internal tools or open-source projects in the ML Infra space.

  • Prior experience helping bring ML systems through regulatory, safety, or quality review stages.

Why Work at Our Company?

  • Real Impact:

    • You'll work on meaningful products that make a measurable difference - from healthcare and commerce to sustainability and next-gen tech.

  • Remote-First, Office Friendly:

    • Work from wherever you're most productive - whether that's your home, a co-working space, or one of our offices.

  • An Outstanding Team:

    • Talented, kind, and hard-working people who care deeply about their craft - and about each other.

  • Growth:

    • You'll be supported in growing your craft, exploring new paths, and stepping into greater responsibility -at your own pace

  • A Culture of Excellence:

    • We care deeply about doing the right thing -for our clients, our team, and ourselves.

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