Senior Machine Learning Engineer
Elia Group2 days ago
Brussels, BelgiumSenior
Responsibilities
- Shape the EL.AI technical roadmap by evaluating AI capabilities and translating them into scalable, production-ready platform functionality.
- Design, develop, operate, and evolve the EL.AI platform with emphasis on scalability, reliability, maintainability, and operational excellence.
- Build reusable frameworks, templates, pipelines, and reference implementations to accelerate organizational AI adoption.
- Translate architectural guidelines into concrete implementations and refine architecture decisions using practical and operational insights.
- Contribute to AI governance through standards, guidelines, and best practices based on implementation experience.
- Ensure coherent integration of the platform with the wider AI, data, and IT landscape.
- Conduct technical evaluations, prototypes, and proofs of concept to validate technologies and identify risks early.
- Establish engineering best practices covering software development, MLOps, CI/CD, testing, observability, and documentation.
- Support platform adoption through feasibility analyses, onboarding, operational guidance, and recommendations for the product roadmap.
Requirements
- Master’s degree in computer science, engineering, data science, mathematics, or a comparable field, or equivalent relevant experience.
- At least 10 years of experience in AI, cloud, or data engineering, including at least five years developing and deploying AI/ML solutions in production.
- Demonstrated experience designing, building, and managing platforms or shared technical capabilities used by multiple teams.
- Experience as a technical reference, lead engineer, or technical owner in a multidisciplinary environment.
- Fluent English; knowledge of Dutch, French, and/or German is a plus.
- Strong Machine Learning Engineering expertise covering the full model lifecycle from development and training through deployment, monitoring, and optimization.
- Thorough knowledge of MLOps, Generative AI, Agentic AI, LLM integrations, RAG architectures, agent frameworks, model governance, and automated operations.
- Extensive experience with the Microsoft Azure AI ecosystem and cloud-native engineering, including Azure Machine Learning, Azure AI Services, DevSecOps, and Infrastructure as Code.
- Experience with modern data and AI platforms and platform engineering, including Databricks, MLflow, vector databases, Kubernetes, API integrations, and reusable technical building blocks.
- Knowledge of AI governance, cybersecurity, security-by-design, observability, FinOps, and relevant AI and information-security regulations and standards.
Benefits
- Competitive compensation package including representation allowance, year-end bonus, double holiday pay, meal vouchers of €10 per working day, eco vouchers, sports and culture vouchers, and individual and collective performance bonuses.
- Group, hospitalization, ambulatory-care, and private-life accident insurance, including family coverage for ambulatory care.
- 20 vacation days, 5 compensatory leave days, 6 local days, 4 management days after one year, and up to 5 seniority days.
- Social fund benefits including year-end vouchers, birth or marriage payments, and partial reimbursement for glasses, dental prostheses, and similar needs.
- iPhone with subscription for private use, internet reimbursement, and laptop.
- 30% discount on gas and electricity bills.
- Company car and public transport or mobility budget.
- Opportunity to subscribe to Elia shares at a 16.66% discount.
- Brussels location near Brussels-Central station with telework and occasional travel to Berlin.