
51 - 200 employees
Founded 2015
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.
🕒 February 17
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51 - 200 employees
Founded 2015
💼 Consulting
📦 Logistics
🏥 Healthcare
Consulting • Logistics • Healthcare
Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.
• Build and maintain CI/CD pipelines for machine learning models • Operationalise model lifecycle processes including versioning, promotion, and rollback • Deploy and operate LangChain and LangGraph based services in production • Implement monitoring for model performance, drift detection, and runtime failures • Ensure traceability, auditability, and compliance readiness in regulated environments • Collaborate with data scientists and ML engineers to support smooth model releases • Optimise reliability, scalability, and security of ML and GenAI workloads
• Strong hands on experience in MLOps or ML platform engineering • Solid Python skills for automation and tooling • Experience with Docker and Kubernetes in production environments • Practical experience with MLflow or similar model lifecycle management tools • Hands on experience with CI/CD pipelines • Experience working with Azure or AWS cloud platforms • Understanding of monitoring and observability for ML systems • Ability to operate in regulated or compliance heavy environments • Fluent English for professional collaboration
• Solid, competitive salary • Work in a multinational environment on international projects • Comprehensive healthcare • Long-term B2B contract with a stable project pipeline • Remote work model
Apply Now🕒 February 12
Senior Deep Learning Engineer optimizing GPU for efficient inference of Cosmos World Foundation Models. Collaborating with research scientists and software engineers to enhance AI system performance.
🕒 September 1, 2025
Senior AI/ML Engineer building serverless time-series forecasting and microservice backends for transportation outsourcing company.