Descripción de la oferta
We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART.Responsibilities- Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.- Create multi‑agent systems and equip AI models with function/tool‑calling capabilities.- Design and implement Retrieval‑Augmented Generation (RAG) systems to ground AI responses in enterprise data.- Assess and integrate AI models (e.G., LLMs) ensuring optimal performance and reliability.- Optimize agentic workflows and AI agents for production use cases.- Test and optimize system prompts and few‑shot examples to ensure accurate, consistent, and safe AI outputs.- Perform performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them.- Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes.- Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions.Qualifications- Strong problem‑solving and analytical skills, with the ability to think critically and creatively about complex challenges.- Excellent communication and collaboration skills, enabling effective teamwork with cross‑functional stakeholders at all levels of the organization.- Ability to manage personal workloads effectively, prioritize tasks, manage timelines, and deliver high‑quality results on schedule.- Continuous learning mindset, with a passion for staying up‑to‑date with the latest advancements in machine learning and artificial intelligence.- Attention to detail and commitment to producing high‑quality, reliable, and maintainable code.- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.- Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch.- Proven experience working with Large Language Models (LLMs).- Good understanding of AI agents & agentic workflows, LLM orchestration frameworks, and reasoning patterns.- Experience with data preprocessing, feature engineering, and model selection and evaluation techniques.- Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimisation.- Understanding of software development best practices, including version control, testing, and documentation.- Excellent problem‑solving and debugging skills, with the ability to identify and resolve issues quickly and effectively.- Relevant work experience in machine learning, data science or a related field.- Good English; Spanish is a plus.Benefits- Continuous learning opportunities and support for professional development.- Flexible working options.- Wide array of health and well‑being benefits.- Extensive career development programmes.#J-18808-Ljbffr
