Senior Machine Learning Engineer
Elia Group2 days ago
Brussels, BelgiumSenior
Responsibilities
- Contribute to EL.AI’s technical roadmap by evaluating new AI capabilities and converting them into scalable, production-ready platform features.
- Design, develop, operate, and continuously improve the EL.AI platform with a focus on scalability, reliability, maintainability, and operational excellence.
- Develop reusable frameworks, templates, pipelines, and reference implementations for AI solution development and adoption.
- Translate architectural direction into concrete implementation patterns and provide production feedback to evolve architecture choices.
- Contribute hands-on expertise to AI governance, standards, guardrails, and engineering best practices.
- Ensure consistent integration of the platform with Elia Group’s AI, data, and IT ecosystem.
- Conduct technical evaluations, prototypes, and proofs of concept to validate technologies and reduce implementation risks.
- Reduce technical debt and promote best practices in software development, MLOps, testing, observability, and documentation.
- Support product evolution and platform adoption through feasibility analysis, team onboarding, operational guidance, and market-informed recommendations.
Requirements
- Master’s degree in computer science, engineering, data science, mathematics, or an equivalent field, or equivalent professional experience.
- At least 10 years of experience in AI, cloud, or data engineering, including at least 5 years designing, developing, and deploying AI/ML solutions in production.
- Demonstrated experience designing, implementing, and operating platforms or shared technical capabilities used by multiple teams.
- Recognized experience as a technical lead, lead engineer, or technical reference in multidisciplinary environments.
- Excellent English; knowledge of Dutch, French, and/or German is an advantage.
- Strong machine learning engineering and model lifecycle management expertise covering development, training, deployment, monitoring, and continuous improvement.
- Strong MLOps expertise and experience with generative AI, agentic AI, LLM integrations, RAG architectures, agent frameworks, model governance, and operational automation.
- Deep experience with Microsoft Azure AI, including Azure Machine Learning and Azure AI Services, as well as cloud-native architectures, DevSecOps, and Infrastructure as Code.
- Experience with modern data and AI platforms and Platform Engineering principles, including Databricks, MLflow, vector databases, Kubernetes, API integration patterns, and reusable technical components.
- Understanding of AI governance, cybersecurity, Security by Design, observability, FinOps, and applicable AI and information-security regulations and standards.
Benefits
- Competitive salary package, representation allowance, year-end bonus, double holiday pay, €10 meal vouchers per working day, eco-vouchers, sports and culture vouchers, and performance-based individual and collective bonuses.
- Group insurance, hospitalization insurance, family outpatient care coverage, and private accident insurance.
- 20 vacation days, 5 compensatory rest days, 6 local days, 4 management days after one year of service, and up to 5 seniority days.
- Social benefits including year-end vouchers, birth and marriage allowances, and partial reimbursement for glasses, dental prostheses, and similar expenses.
- Company iPhone with subscription for private use, internet subscription reimbursement, and laptop.
- 30% discount on gas and electricity bills.
- Company car and public-transport subscription or mobility budget.
- Opportunity to purchase Elia shares at a 16.66% discount on the average share price.
- Work location in Brussels near Central Station with teleworking; occasional travel to Berlin.