MLOps Engineer (AI Platform)
OmiliaMaine, United States
Posted September 22, 2025
Full Time
About the Company
At Omilia we are engaged to provide the most human-like human-to-machine communication experiences and technologies in order to help large enterprises improve the customer care experience. Starting out of a small garage, Omilia is now serving 1 billion conversations, in 30 languages, across 17 countries. With one of the fastest growing NLU solutions in the market, Omilia has been recognized as a Leader in the 2022 Gartner® Magic Quadrant™ for Enterprise Conversational AI Platforms, as well as in the IDC Marketscape for Worldwide Conversational AI Software Platforms for Customer Service 2021. Our technology allows the enterprise to take advantage of Open-Question customer care with end-to-end Self-Service to greatly improve customer experience and significantly decrease operational costs. In 2016 Omilia expanded to USA and Canada, counting 33 full production deployments worldwide and case studies with proven KPIs and ROIs across various industries.
Job Description
Omilia is seeking a foundational MLOps Leader to design and build the infrastructure that powers their AI platform. This role involves architecting and operating production AI systems, from Agentic AI to Voice Biometrics, and establishing patterns for machine learning operations. The ideal candidate will have a hands-on technical leadership role with significant autonomy to shape the future of their AI capabilities.
Requirements
- 5+ years in a Senior DevOps, SRE, or MLOps role with a focus on production systems
- Deep expertise in architecting and managing Kubernetes clusters
- Strong proficiency in a systems-level scripting language (e.g., Python, Go)
- Direct experience deploying and managing specific ML models (e.g., Agentic AI, NLU, ASR, TTS)
- Familiarity with ML experiment tracking and model registry tools (e.g., MLflow, SageMaker Model Registry)
- Experience deploying models on specialized hardware (e.g., GPUs, Inferentia, Trainium)
Benefits
- Fixed compensation
- Long-term employment
- Development in professional growth
- Being part of successful technology products
- Proficient and fun-to-work-with colleagues
- Apple gear