
AI & Machine Learning Engineer
FSP
full-time
Posted on:
Location Type: Hybrid
Location: Barcelona • Spain
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About the role
- Deploy, fine-tune and monitor Generative AI models and Agentic AI for enterprise use cases
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies
- Integrate Agentic AI into business workflows
- Collaborate with data engineers to bring Agentic capabilities to production
- Stay current with AI trends, tools, and best practices, and drive innovation within the team
Requirements
- 3+ years of experience in machine learning, AI, data science, or software development, with recent focus on GenAI and LLMs
- Experience with GenAI frameworks (e.g. Azure Foundry, CrewAI and Hugging Face)
- Proficient in context engineering, RAG, and LLMOps
- Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry, Azure ML Studio)
- Experience with Azure data and analytics services (Data Factory, Data Lake, Synapse Analytics, SQL Database)
- Programming skills in Python, R, or similar languages
- Familiarity with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with Azure DevOps, GitHub, or similar tools
- Experience in Computer Vision for Optical Character Recognition (OCR) and object recognition
- Hands-on experience with MLflow, Databricks CLI, Terraform, automated retraining pipelines, drift detection, MLSecOps, access control, audit logging, and documentation, knowledge transfer, and training for internal teams and stakeholders.
Benefits
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work you can be proud of
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningGenerative AIRetrieval-Augmented Generationcontext engineeringLLMOpsComputer VisionOptical Character RecognitionPythonRML frameworks
Soft Skills
collaborationinnovationcommunication