AI/ML developer
Hace 2 días
spain
Ampstek
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field — or equivalent practical experience.2-5 years of professional software engineering experience, with at least 2 years building and shipping ML or AI systems in production.
Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, or open-source models).
Practical RAG and embeddings experience, including at least one production vector store.
Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals.
Proficiency in Python and core ML libraries (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).2nd pilar must haves, but not so critical:Solid command of Git, branching strategies, and pull-request-based code review.
Hands-on experience building and operating CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production workloads.
Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker).
Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders.
Proven ability to thrive in a fully remote, globally distributed team.
Hands-on experience deploying LLM-based applications using major model providers (Anthropic Claude, Azure OpenAI, OpenAI, or open-source models).
Practical RAG and embeddings experience, including at least one production vector store.
Demonstrated proficiency with AI coding tools such as Claude Code and Cursor, balanced with strong manual coding fundamentals.
Proficiency in Python and core ML libraries (PyTorch and/or TensorFlow, scikit-learn, pandas, NumPy).2nd pilar must haves, but not so critical:Solid command of Git, branching strategies, and pull-request-based code review.
Hands-on experience building and operating CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) for production workloads.
Hands-on experience deploying services on Azure (AKS, App Service, Functions, Azure AI/ML services, or similar) and with containerization (Docker).
Strong written and verbal communication; able to explain modeling decisions and trade-offs to non-technical stakeholders.
Proven ability to thrive in a fully remote, globally distributed team.