PSenior Data Scientist / ML Engineer /ppLocation: Remote from Spain (an indefinite Spanish employment contract) /ppWorking hours: breadiness to /b bwork till 2-3 PM EST hours (8-9 PM CET) /b /ppbr/ppAre you a skilled Machine Learning engineer with a passion for Computer vision, NLP or Generative AI? Do you have a knack for understanding both the technical intricacies and the business implications of data-driven solutions? If so, we have an exciting opportunity for you to join our team as Machine Learning Engineer. /ppbr/ppbRequirements: /b /ppbr/pp•bEducation: /b Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field. /pp bExperience: /b 5+ years of professional experience in machine learning engineering, AI development, or a closely related role. /ppbMachine Learning Statistics: /b Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions). /ppbLLM Expertise: /b Demonstrated project experience with large language models, including: /pulliPrompt engineering and prompt management strategies; /liliLLM application development (end-to-end); /liliFine-tuning of large language models; /liliRetrieval-augmented generation (RAG) pipeline design and implementation; /liliPractical experience with vector stores such as bChromaDB /b, bpgvector /b, and bPostgreSQL. /b /li /ulpbAI Agents: /b Hands-on experience building AI agents and multi-agent systems using frameworks such as bLangChain /b, bLangGraph /b, bCrewAI /b, or similar orchestration frameworks. Must demonstrate the ability to design agent architectures, manage tool integration, and handle complex agent workflows. /ppbProgramming: /b Proficiency in bPython /b with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation). /ppbCloud: /b Practical experience with bGoogle Cloud Platform (GCP) /b services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine). /ppbDevOps MLOps: /b /ppbDocker: /b Proficiency in containerization — building, managing, and deploying Docker images and containers. /ppbGitLab: /b Proficient GitLab skills for version control, merge request workflows, and repository management. /ppbAPI Development: /b Experience with bFastAPI /b, including request validation, async handling, and integration with ML model serving. Broader software development experience expected. /ppAt least B2 level of English. /ppbr/ppbSoft Skills: /b /ppbr/pulliExcellent communication skills /liliStrong work ethic and high personal accountability /liliOwnership mentality — takes full responsibility for deliverables and outcomes /liliProactive, self-starting approach to identifying problems and driving project success without waiting for direction. /li /ulpbr/ppbResponsibilities: /b /ppbr/pulliDrive/Participate the ideation, development, and execution of POCs and AI related project /liliDevelop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems /liliCollaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products /li /ul