
51 - 200 employees
Founded 2015
🤝 B2B
🤖 Artificial Intelligence
B2B • Software Development • Artificial Intelligence
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
🤝 B2B
🤖 Artificial Intelligence
B2B • Software Development • Artificial Intelligence
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.
Docker
Python
PyTorch
🕒 September 1, 2025
Senior AI/ML Engineer building serverless time-series forecasting and microservice backends for transportation outsourcing company.
AWS
Microservices
NoSQL
Python
SQL
.NET