Descripción del trabajoSenior Machine Learning Engineer PositionJob Overview : This is a high-ownership role where you will act as both a technical expert and a strategic thinker, ensuring the delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs.Key Responsibilities : - Partner with clients and internal stakeholders to understand strategic objectives and uncover ML / AI opportunities.- Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.- Define project goals, success criteria, and measurable KPIs in alignment with business needs.Technical Expertise : - Lead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.- Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.G., with Kubeflow).- Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.- Ensure full automation from preprocessing to production, with robust testing and CI / CD integration.- Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.Candidate Profile : - 5+ years of hands-on experience in ML / AI engineering or data science roles.- 3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.- Proven experience delivering production-grade models and scalable ML systems.- Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.- Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.- Expertise in MLOps tooling and automation (e.G., Kubeflow, MLflow, Vertex AI Pipelines).- Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.- Familiarity with data preprocessing, model tuning, and performance optimization.- Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.- Eligible to work in Europe.Bonus Skills : - Experience with LangChain, LangGraph, or dbt.- Prior involvement in consulting or client-facing AI / ML projects.- Contribution to open-source or published work in AI / ML communities.Why Join Our Team?- We value generosity, transparency, growth, ownership, trust, and ever-learning.This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI / ML community.