Remote MLOps Engineer

Description:

• CloudWalk is a fintech company focused on reimagining the future of financial services through AI, blockchain, and thoughtful design.
• The company is seeking an MLOps Engineer to build ML infrastructure that scales dynamically from dozens to thousands of GPUs.
• The role involves working closely with researchers and engineers to design systems for training, evaluating, and monitoring machine learning models at scale.
• Responsibilities include building and maintaining ML pipelines for data processing, training, evaluation, and model deployment.
• The engineer will orchestrate batch and training jobs in Kubernetes, handling retries, failures, and resource constraints.
• The position requires designing systems that can scale dynamically from small GPU jobs to thousands of GPUs on-demand.
• Collaboration with researchers to productionize experiments into reproducible workflows is essential.
• The engineer will implement model serving endpoints and integrate with internal tooling.
• Setting up monitoring, logging, and KPI tracking for ML pipelines and compute jobs is part of the job.
• Automating CI/CD and infrastructure provisioning for ML workloads is required.
• The role includes managing experiment tracking, model versioning, and metadata with tools like MLflow or W&B.
• Support for model serving infrastructure that may be used by internal UIs or tools in the future is also expected.

Requirements:

• Strong experience with Kubernetes, specifically in orchestrating jobs and managing training workloads, GPU scheduling, job retries, and Helm-based deployments.
• Proficiency in Python for writing scripts and services to automate processes.
• Familiarity with ML workflows, including data preprocessing, training, evaluation, and deployment pipelines.
• Ability to expose models via FastAPI, TorchServe, or equivalent serving stacks.
• Strong command of Linux and debugging compute-heavy jobs.
• Experience with ML metadata systems such as MLflow, W&B, or Neptune.
• Capability to work alongside AI assistants and agents.
• Proficient communication skills in both English and Portuguese.

Benefits:

• The company promotes a welcoming work environment that values diversity and inclusion.
• Employees are encouraged to be authentic, regardless of gender, ethnicity, race, religion, sexuality, mobility, disability, or education.
• The recruiting process includes an online assessment, a technical project essay, a technical interview, and a cultural interview.
• Candidates should be prepared for an online quiz as part of the application process.