Senior Machine Learning Engineer
Elia Group2 days ago
Brussels, BelgiumSenior
Responsibilities
- Shape the technical roadmap of the EL.AI AI platform by evaluating emerging AI capabilities and turning them into scalable production features.
- Design, develop, and continuously evolve the platform with emphasis on scalability, reliability, maintainability, and operational excellence.
- Build reusable frameworks, templates, pipelines, and reference implementations to accelerate organization-wide AI adoption.
- Translate architectural principles into implementation patterns and provide operational feedback to refine architecture and governance.
- Conduct technical evaluations, prototypes, and proof-of-concepts to validate technologies and reduce implementation risks.
- Ensure platform integration with the broader AI, data, and IT landscape while maintaining technical consistency and reducing technical debt.
- Promote engineering excellence across software development, MLOps, CI/CD, testing, observability, and documentation.
- Support product development and adoption through feasibility assessments, onboarding, operational guidance, and roadmap recommendations.
Requirements
- Master’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related field, or equivalent relevant professional experience.
- Minimum 10 years of experience in AI, cloud, or data engineering, including at least 5 years delivering AI/ML solutions in production.
- Experience designing, building, and operating platforms or shared technical capabilities used across multiple teams.
- Experience serving as a technical reference, lead engineer, or technical lead in a multidisciplinary environment.
- Fluency in English; Dutch, French, and/or German is an asset.
- Strong expertise in machine learning engineering and end-to-end model lifecycle management.
- Knowledge of MLOps, generative AI, agentic AI, LLM integrations, RAG architectures, agent frameworks, model governance, and automated operational processes.
- Extensive experience with the Microsoft Azure AI ecosystem, Azure Machine Learning, Azure AI Services, cloud-native engineering, CI/CD, DevSecOps, and Infrastructure as Code.
- Experience with Databricks, MLflow, vector databases, Kubernetes, API integrations, and reusable platform building blocks.
- Understanding of AI governance, cybersecurity, security-by-design, observability, FinOps, and relevant AI and information-security regulations and standards.
Benefits
- Competitive salary package with representation allowance, year-end bonus, double vacation pay, meal vouchers, eco-vouchers, sport and culture vouchers, and individual and group performance bonuses.
- Group, hospitalisation, ambulant care, and personal accident insurance covering the employee and family as applicable.
- 20 vacation days, 5 additional vacation days, 6 local days, 4 exempt days after one year, and up to 5 long-service days.
- Social fund allowances and partial reimbursement for glasses, dental prostheses, or similar needs.
- Company iPhone with subscription, laptop, and internet reimbursement.
- 30% discount on Elia gas and electricity bills.
- Company car and public transport or mobility budget.
- Opportunity to subscribe to Elia shares at a 16.66% discount on the average share price.
- Based in Brussels near Central Station with homeworking and occasional travel to Berlin.