ML Engineer: Build & Deploy Scalable AI Solutions

Julius Baer; Madrid; On-site; EUR 60,000 - 110,000; Full time

Job summary

Julius Baer in Madrid is seeking a skilled machine learning engineer (ML Eng) to join an agile development team within our ML & AI ART. You will design, build, and maintain robust, scalable AI solutions in a DevOps environment, collaborating across data engineers, data scientists, and platform teams to deliver high-quality digital solutions.

You will work across the full lifecycle from concept to deployment, create multi-agent systems with function/tool-calling capabilities, ground AI responses

Qualifications

• 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 optimization.
• Understanding software development best practices, including version control, testing, and documentation.

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 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.
• Testing and optimizing system prompts and few-shot examples to ensure accurate , consistent, and safe AI outputs.
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques.
• 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.

Skills

Python programming

ML libraries & DL frameworks

LLMs experience

AI agents & agentic workflows

Data preprocessing & feature eng

Statistics & linear algebra

Software development practices

Problem solving & debugging

Education

Bachelor's or Master's in Data Science/CS/Math/Stats

Tools

TensorFlow

PyTorch

LLM orchestration frameworks

Job description

Julius Baer in Madrid is seeking a skilled machine learning engineer (ML Eng) to join an agile development team within our ML & AI ART. You will design, build, and maintain robust, scalable AI solutions in a DevOps environment, collaborating across data engineers, data scientists, and platform teams to deliver high-quality digital solutions.

You will work across the full lifecycle from concept to deployment, create multi-agent systems with function/tool-calling capabilities, ground AI responses