Omilia - Conversational Intelligence

DevOps Engineer

• - Ensure platform reliability and availability across production and pre-production environments through proactive monitoring, alerting, and automation.
• - First response for incidents, contribute to problem management and root cause analysis.
• - Supporting the development team's effort towards reliability, creating a solid reliability culture within the development lifecycle.
• - Develop troubleshooting documentation for production support resources.
• - Collaborate with Engineering teams to develop optimised and productive runbooks, operational documentation and automation of operational tasks.
• - Collaborate with development and cloud engineering teams to embed reliability and performance into the software delivery lifecycle.
• - Design, implement, and evolve observability solutions (metrics, logs, traces, dashboards) using tools such as Prometheus, Grafana, and ELK.
• - Participate in on-call rotations and continuously improve alert quality and response processes.
• - Champion a culture of reliability, performance, and continuous improvement across teams.

Senior Site Reliability Engineer

Research Scientist

• Pioneer Research: Research and implement state-of-the-art approaches for multi-modal LLMs within an end-to-end, speech-to-speech dialog system architecture.
• Train & Optimize: Drive the training, fine-tuning, and optimization of our multi-modal LLMs. Your focus will be on enabling full-duplex conversational capabilities, advanced tool-calling, robust barge-in detection, stronger reasoning, in-context learning, and context-aware natural speech generation.
• Build Data Flywheels: Design and implement robust data pipelines for the entire multi-modal LLM lifecycle, including data curation, preparation, model training, and rigorous evaluation.
• Scale Our Infrastructure: Develop and optimize our training infrastructure to enable fast, large-scale experimentation (multi-GPU and multi-node training), dramatically accelerating our S2S model development cycle.
• Collaborate & Deploy: Work closely with product and engineering teams to transform your research models into robust, scalable, and deployable services that our customers will love.
• Publish Your Work: Publish pioneering research at top-tier academic conferences while successfully deploying systems into production environments.

Senior Speech Applied Scientist

IT Support

• Daily support for internal end users.
• Setup and config new laptops (Apple) for new and existing employees. Onboarding of IT services to new employees.
• User account management.
• Hardware/IT equipment inventory management.
• Contribute actively and effectively as an integrated team member
• Meet regularly with the line manager to review progress
• Manage issue resolution and critically escalate
• Work effectively with other teams, units, and departments
• Manage issues with clarity and ensure effective information flow and team working Support organization's other priority activities, when necessary
• Act as an Omilia ambassador

IT Support Specialist

Cloud Engineer

• Design, operate, and maintain production clusters, developing automation strategies and deployment processes
• Take ownership of platform challenges, proactively addressing and resolving issues to ensure a high-performance, reliable infrastructure
• Manage and scale cloud infrastructure (AWS and Azure), continuously monitor systems, plan and execute upgrades, and respond to outages including after-hours support when needed
• Identify potential issues early; evaluate and improve technologies, procedures, and workflows to increase operational efficiency and performance
• Investigate, evaluate, and implement new tools and technologies, applying expertise in AWS, Azure, Docker Swarm, Kubernetes, GitLab CI, Jenkins, and Terraform
• Operate within agile/lean frameworks and collaborate closely with cross-functional teams (product management, design, engineering)
• Seek and implement innovative approaches to improve infrastructure performance, reliability, scalability, and security
• Meet regularly with the line manager to review progress; manage issue resolution and escalation; work effectively with other teams; support other organizational priorities when necessary; act as an Omilia ambassador

Backend Engineer

• Join product development team to work on Omilia’s state of the art Cloud services for Conversational AI and Virtual Assistant technologies.
• Design, develop, manage and support microservices.
• Sustain, improve and implement new features for tools written in Python.
• Consistently produce well designed, testable and efficient code.
• Contribute to a microservice-based architecture and its evolution.
• Design and develop high-volume, low-latency applications for mission-critical systems geared for high-availability and performance.
• Debug and resolve issues and perform resolution follow-up.
• Solve scalability and performance issues.
• Identify performance bottlenecks and suggest improvements.
• Scale services using Docker and Kubernetes technologies.
• Participate in project planning including research and development.
• Support and improve Agile transformation.
• Contribute to backlog with improvements and suggestions.
• Implement Proof of Concepts (PoC) to introduce new solutions and ideas.
• Effective time management and ability to meet deadlines.
• Utilize AI tools for analysis and development of services and applications.
• Actively contribute as an integrated team member and collaborate across teams.
• Meet regularly with the line manager to review progress and manage issue resolution.
• Support other organization priority activities and act as an Omilia ambassador.

Senior Site Reliability Engineer

Senior Speech Applied Scientist

IT Support Specialist

Cloud Engineer

Senior Python Engineer