Senior Data Engineer

About the company Omilia is a leader in Conversational AI. Our cloud platform powers natural, human like customer conversations over voice and chat for some of the largest enterprises in banking, insurance, telecommunications and hospitality, handling hundreds of millions of interactions a year. We build our own deep tech across the stack, from speech recognition and natural language understanding to dialog management, and we integrate natively with the major CCaaS platforms. We are a company of roughly 500 people, distributed across Europe and North America, in the middle of an ambitious platform modernization program: Kubernetes everywhere, autoscaling for every service, a next generation observability stack, and AI woven through our own engineering lifecycle. Role Purpose The Account Executive, DACH drives new business growth for Omilia's Conversational AI platform across the German, Austrian, and Swiss markets. This role owns the full sales cycle for enterprise prospects in banking, insurance, healthcare, and utilities, from qualification through contract close, and is accountable for building a strong regional pipeline and consistently meeting revenue targets. The role acts as a trusted advisor to prospects, translating complex CX automation capabilities into clear business value for DACH enterprises. Accountabilities Own individual revenue targets for the DACH region and deliver consistent, predictable quota attainment. Build and maintain a qualified pipeline of enterprise prospects across banking, insurance, healthcare, and utilities in Germany, Austria, and Switzerland. Lead the end-to-end sales cycle, from prospecting and discovery through solution positioning, negotiation, and contract close. Represent Omilia's value proposition accurately and credibly to C-level and senior stakeholders at prospect organizations. Maintain accurate forecasting and pipeline data to support regional sales planning led by the VP of Sales, DACH. Build long-term relationships w…

Posted 27 Sept 2026

We are looking for an experienced We are looking for an experienced ML Engineer / MLOps Engineer to join a cloud-native project for a German customer. The role is strongly engineering-focused and involves building production-grade ML infrastructure, working with GPU workloads, ML pipelines, LLMs and large-scale data processing. 📍 Location: Germany 🗣 German: B2+ - must-have 🗣 English: B1+ 📅 Estimated start: September 30, 2026 What you'll be working on Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2) Train ML models on GPUs and manage GPU resources within Kubernetes Fine-tune transformers and LLMs Track experiments and models using MLflow Build classical ML models with XGBoost and CatBoost Process large datasets using SQL Server and DuckDB Develop Python-based pipelines, integrations and tooling Maintain high engineering standards through testing, clean code and CI/CD with GitLab CI Work in a secure, zero-trust / secure-by-default environment with network policies and restrictive container permissions Requirements What we're looking for Hands-on experience with Kubeflow Pipelines, ideally KFP v2 Experience training models on GPUs Practical experience with LLM / transformer fine-tuning Experience with MLflow Strong knowledge of XGBoost, CatBoost or similar boosting models Strong Python engineering skills Solid SQL experience and understanding of large-scale data processing Experience with CI/CD, clean code and automated testing Production-grade ML/MLOps experience beyond notebook-based experimentation Experience working in enterprise or regulated cloud-native environments Nice to have Experience with LLM pre-training, beyond fine-tuning GPU orchestration in Kubernetes Experience with zero-trust environments, network policies and restrictive container rights Knowledge of DuckDB Experience with modern Python tooling such as uv Previous healthcare or billing domain experience is not required, but you should be comfortable quickly getting up to spe…

Posted 12 Sept 2026

The Senior Expense Accountant owns AP close and vendor account management, including complex and high-value vendor relationships, reporting to the VP of Finance. This role also owns the corporate card program and expense policy compliance, and mentors the Expense Accountant, building a resilient, cross-trained expense accounting function. Accountabilities Own AP month-end close and vendor account reconciliation, hitting a 5-business-day close target. Manage complex and high-value vendor relationships, including payment terms negotiation and escalations. Own the corporate card program (Payhawk) and expense policy compliance, including periodic T&E audits. Drive AP and expense automation (e.g., OCR invoice capture, automated 3-way match, self-service reporting) to sustain close speed and accuracy as transaction volume scales. Partner with FP&A and Procurement to drive spend visibility, budget accuracy, and continuous improvement of the source-to-pay process. Review and mentor junior accountant(s), building a resilient, cross-trained expense accounting function. Key Responsibilities Review payment runs (ACH/wire) and approval workflows, ensuring 2-way/3-way match discipline and segregation of duties. Identify opportunities to capture early-payment discounts and streamline vendor onboarding. Drive automation and continuous improvement of the AP/expense workflow (invoice OCR, automated 3-way match, spend analytics and self-service reporting). Conduct periodic T&E audits to ensure expense policy compliance. Partner with FP&A and Procurement on spend visibility, budget variance analysis, and source-to-pay improvements. Negotiate payment terms with high-value vendors and resolve escalations. Provide day-to-day review and coaching to the Expense Accountant. Requirements Required: 5+ years in AP or expense accounting. Experience with NetSuite and a modern expense/corporate card platform (e.g., Payhawk, Ramp, Brex, or Navan). Comfortable operating in a multi-entity, multi-cur…

Posted 12 Sept 2026