
B2B âą Software Development âą 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.
October 17
AWS
Azure
Cloud
Docker
Google Cloud Platform
Kubernetes
Microservices
Python
PyTorch
Scikit-Learn
SDLC
Tensorflow

B2B âą Software Development âą 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.
âą Design and develop scalable AI-driven solutions in Python, applying Machine Learning and Deep Learning principles. âą Lead end-to-end implementation from data processing to model deployment and API integration. âą Collaborate with data, cloud, and product teams to define architecture and delivery approach. âą Guide a team of engineers through technical design, development, and code review. âą Ensure adherence to SDLC best practices, testing, and DevOps standards. âą Contribute to PoC development and industrialisation of GenAI and LLM solutions. âą Optimise solutions for scalability, performance, and security in enterprise cloud environments.
âą Advanced programming skills in Python with focus on AI and data-driven systems. âą Deep knowledge of Machine Learning and AI frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face). âą Experience with LLMs, embeddings, and transformers, including integration of OpenAI or Anthropic APIs. âą Proficiency in prompt engineering and orchestration tools (LangChain, LangGraph, Semantic Kernel, Crew AI). âą Hands-on with vector databases (Pinecone, Weaviate, FAISS, Milvus) and GenAI solution design. âą Practical knowledge of MLOps and DevOps tooling (Docker, Kubernetes, GitHub Actions, Azure DevOps). âą Experience deploying AI systems on AWS, Azure, or GCP, using cloud-native services. âą Strong understanding of architecture, APIs, microservices, and security standards (IAM, RBAC). âą Leadership experience managing or mentoring small engineering teams. âą Fluent English (C1).
âą Solid, competitive salary âą Work in multilingual, multinational and multicultural environment on international projects âą Comprehensive healthcare âą Long-term B2B contract with stable project pipeline âą Fully remote model
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