описание
Xomnia uses data and AI to tackle real-world challenges. Its AI work spans energy and utilities, finance and insurance, and AI for Good, with production GenAI applications across customer service use cases.
задачи
- Take models from experiment to production, including feature engineering, data pipelines, model serving, monitoring, and CI/CD
- Build production-ready GenAI applications with retrieval, agentic workflows, evaluation sets, guardrails, and client-compatible cost and latency budgets
- Choose the right tool for each problem, including LLMs, forecasting models, recommenders, or anomaly detectors
- Deploy on Azure, AWS, or GCP, using managed AI platforms such as AWS Bedrock or Microsoft AI Foundry where appropriate
- Work with client teams to translate business needs into buildable solutions and explain trade-offs
- Help clients build their own capabilities through code reviews, pairing, and engineering practices that last beyond the assignment
- Share learnings internally through Learning Labs, Xpert sessions, and mentoring
требования
- 3+ Years of experience in ML engineering, AI engineering, data science, or a comparable role
- Strong Python skills and solid command of at least one of scikit-learn, PyTorch, or TensorFlow
- Hands-on experience with LLMs beyond API calls, including RAG, vector stores, agent frameworks such as LangChain or LlamaIndex, and evaluating output quality
- Comfortable with production tooling: MLflow, Airflow, Docker, Kubernetes, and Databricks
- Degree in Computer Science, AI, Data Science, or a related technical field
- A consulting mindset: listen first, ask difficult questions early, and turn vague needs into concrete solutions
- Fluent in English and/or Dutch
условия
- €5,000 Annual development budget
- 25 Vacation days
- Pension
- Flexible working location
- Option to take unpaid leave
- Annual company trips
- Stock Appreciation Rights
- Salary is based on 40 hours and excludes vacation allowance
- Healthy lunch every day and a bar
