North AmericaFull TimeEngineering
Remotely
llmobservabilityml pipelinescloud platformsci/cdmodel deployment
Job Description
📋 Description
- Designing and implementing efficient and scalable machine learning pipelines, across multiple
- Collaborating cross-functionally, serving as a technical lead for junior team members, providing
- Ensuring production-grade deployment standards, emphasizing scalability, reliability, and
- Building reusable, modular infrastructure components and CI/CD pipelines for ML and LLM workloads
- Championing best practices in observability, testing, and monitoring of ML systems, establishing
🎯 Requirements
- Proven experience as a Machine Learning Engineer or similar role (at least 8 years), with a strong
- Expertise designing scalable and robust machine learning pipelines, both for classical machine
- Knowledge of automating and monitoring ML workflows to ensure consistent model performance in
- Hands-on experience with cloud platforms, including deploying models, managing cloud resources, and
- Great communication skills with the ability to convey complex findings to non-technical audiences.
🎁 Benefits
- Stock options and comprehensive benefits package.
- Competitive total compensation with potential for growth.