Operate and maintain AI services in production, ensuring reliability, performance, and cost-efficiency for a public transport organisation’s AI Centre of Excellence in Brussels.
Compensation
You will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
Responsibilities
Operate AI services in production by monitoring availability, latency, and errors
Handle incidents and service requests, analyse root causes, and fix or escalated issues
Maintain answer quality by running evaluation sets and tracking user feedback
Operate ingestion pipelines and manage content source onboarding
Monitor agent integrations with business systems and review action logs
This role focuses on senior technical project engineering rather than administrative coordination or conventional project management.
Compensation
You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.
Responsibilities
Establish and maintain the technical basis, design philosophy, project scope and battery limits.
Lead and align engineering work across disciplines, with Mechanical & Piping as the core area and close cooperation with process, E&I, automation, civil, safety and infrastructure teams.
Organise design reviews and assess solutions for safety, compliance, functionality, reliability, maintainability, constructability and lifecycle value.
Convert process and project requirements into Mechanical & Piping concepts, and oversee the quality of layouts, P&IDs, equipment specifications, piping classes, routing and isometrics.
Evaluate technical alternatives with regard to feasibility, safety, reliability and cost-effectiveness.
Requirements
Master's degree in a technical discipline or equivalent
Design and deliver enterprise-scale data platforms on Microsoft Azure and Databricks, including data lake, warehouse, and lakehouse architectures, governance, security, and technical leadership.
Responsibilities
Design scalable data lake, data warehouse, and lakehouse architectures on Azure and Databricks
Define Databricks architecture covering Unity Catalog, Delta Lake, Workflows, SQL Warehouses, Lakeflow, notebooks, AI/ML and model serving
Design networking, identity and access management, security, governance, monitoring, and environment strategies
Define data integration patterns for batch, streaming, APIs, messaging, and data virtualization
Establish infrastructure automation, deployment standards, performance optimization, and cost management
Design and lead innovative learning and enablement initiatives that empower employees and managers, accelerate professional growth, and support organizational transformation.
Responsibilities
Design and lead end-to-end learning and enablement programs for employees and managers across global teams
Develop scalable onboarding, professional development, and leadership enablement journeys
Translate business needs into engaging learning experiences, practical tools, and actionable resources
Create innovative digital learning solutions, including AI-powered learning experiences, interactive content, and self-service knowledge resources
Partner with business leaders and HRBPs to identify capability gaps and develop targeted enablement solutions
Requirements
Bachelor’s degree in industrial engineering, Business Administration, or a related field
Lead Buildots' Global Operations team, overseeing a wide range of functions that keep our business running smoothly across Israel, Europe, and North America.
Responsibilities
Lead regional Office Managers and oversee workplace operations across global locations
Manage regional employee experience managers and oversee employee well-being, company events, and gifting initiatives
Lead Supply Chain function including procurement, planning, inventory management, and global equipment logistics
Lead and support IT team, setting priorities and ensuring reliable IT services and support
Ensure consistent operational standards and employee experiences across all locations
Independent contractor writers create entertainment content for FanSided’s platform, pitching topics, writing articles, and expanding their voice on a flexible schedule.
Compensation
All Contributors are compensated based on their articles' total traffic accrual each calendar month. Compensation may vary based on site and experience.
Description
We are looking for an experienced Agentic AI & ML Engineer with a strong backend development background, hands-on experience in Machine Learning (ML), Deep Learning (DL), and Multi-Agent Systems, and expertise in AI-driven automation.
The ideal candidate has practical experience building and implementing ML/DL solutions and designing multi-agent architectures in real-world projects.
Requirements
Required Experience & Skills
Minimum 3 years of backend development experience.
Strong hands-on experience with Machine Learning (ML) and Deep Learning (DL), demonstrated through previous projects.
Proven experience designing, building, and implementing Multi-Agent Systems, including agent orchestration, coordination, and communication.
Strong practical experience with Agentic AI development and AI agent architectures.
Experience developing and integrating ML/DL models into backend applications and AI-driven workflows.
Strong understanding and hands-on experience with MCP (Model Context Protocol).
Experience with automation tools and workflow platforms such as n8n.
Experience working with AI tools and LLMs such as Claude.
Experience with prompt engineering, prompt design, and prompt evaluation.
Strong understanding of workflow automation, AI agents, and backend integrations.
Ability to independently design, implement, and optimize complex AI-driven solutions.
Strong ownership mindset and problem-solving skills.
Fluency in English.
Nice to Have
Experience with Python and ML/DL frameworks such as PyTorch or TensorFlow.
Experience with multi-agent frameworks such as LangGraph, CrewAI, or AutoGen.
Experience working with AWS.
Experience with CRM systems, customer lifecycle management, retention analytics, or marketing automation platforms.
Experience deploying and maintaining production-grade ML models and AI agent systems.
Previous experience in the iGaming industry.
Cloud Data Platform Architect - Azure & DatabricksNewDIGITALL Nature · Sofia, Bulgaria
Agentic AI & Automation SpecialistNewCommIT · Ukraine