Applied Machine Learning Platform Engineer

🕒 April 29

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Buzz Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

⚡ Energy

🤖 Artificial Intelligence

🔐 Security

Energy • Artificial Intelligence • Security

Buzz Solutions is a company specializing in visual intelligence solutions for the energy infrastructure sector. Their platform leverages artificial intelligence to inspect, maintain, and secure energy assets such as transmission lines, distribution grids, and substations. The company aims to modernize energy infrastructures by providing actionable intelligence to utility teams, enhancing operations, improving security, and optimizing project management. Buzz Solutions enables condition-based maintenance, detecting anomalies and defects quickly to prevent failures and manage vegetation effectively, especially during adverse weather conditions. The company collaborates with large utility organizations, offering technology that improves inspection efficiency, reduces maintenance costs, and enhances the reliability of energy supply.

📋 Description

• Design, build, and maintain scalable training infrastructure for computer vision workloads • Implement and manage distributed training pipelines (multi-GPU, multi-node) to support large-scale model training and hyperparameter tuning • Build and maintain robust data pipelines for ML development • Design database schemas and storage strategies for managing large training datasets, annotations, and model artifacts • Implement and manage feature stores, data versioning, and experiment tracking to support reliable model iteration • Automate existing analysis workflows • Maintain clear documentation for platform components, data contracts, and deployment processes • Communicate infrastructure decisions, tradeoffs, and system limitations clearly to ML engineers and stakeholders • Conduct thorough code reviews and write integration tests for ML pipelines

🎯 Requirements

• 2-4 years of industry experience in platform, backend, data, or MLOps engineering roles • Python proficiency — idiomatic code, type hints, async patterns, packaging, and performance-aware implementation • Strong software engineering fundamentals — testing, code review, API design, component-level system design • Hands-on experience building and operating distributed cloud machine learning infrastructure • Designing and maintaining scalable training infrastructure, managing ML platform reliability, optimizing data pipelines for throughput at scale • Experience with database design and data systems for ML workloads — schema design, query optimization, and storage strategies for large-scale datasets • Excels at workflow orchestration and automation • Solid proficiency in Python and core ML tooling: • Python ecosystem: Pytest, UV, FastAPI, Pydantic • Tooling: Git, Docker, UV • Tracking: MLflow, Weights & Biases, or equivalent • Automation: Github Actions, CI/CD, Prefect or equivalent • Infrastructure: AWS, GCP, Kubernetes, Helm, Terraform or equivalent • Databases: postgres, DynamoDB, Bigtable

🏖️ Benefits

• Buzz Solutions does not provide Visa sponsorship for work authorizations in the United States at this time