3 дня назад
Machine Learning Engineer Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer Intern (AI): Support the design, development, and deployment of AI solutions within a DevOps environment with an accent on multi-agent systems, RAG, and LLM integration. Focus on optimizing AI agents, refining system prompts, and evaluating model performance using enterprise data.
Location: Madrid, Spain
Company
is a global private banking group specializing in wealth management.
What you will do
- Support the development, deployment, and optimization of ML and AI solutions to solve business challenges.
- Experiment with multi-agent systems and AI models featuring function and tool-calling capabilities.
- Contribute to the design and implementation of RAG systems to connect AI models with enterprise data.
- Evaluate and integrate Large Language Models (LLMs), focusing on performance and reliability.
- Refine system prompts and few-shot examples to improve the consistency and quality of AI output.
- Collaborate with platform teams, data engineers, and data scientists to integrate AI solutions into production systems.
Requirements
- Currently a final-year Bachelor's or Master's student in Computer Science, AI, Data Science, Mathematics, Statistics, or a related field.
- Programming skills in Python with experience using libraries such as TensorFlow or PyTorch.
- Familiarity with LLMs, orchestration concepts, and prompting techniques.
- Knowledge of data preprocessing, feature engineering, and model evaluation metrics.
- Understanding of software development best practices, including version control (Git), testing, and documentation.
- Location: Must be based in Madrid.
Nice to have
- Previous internship, academic project, or hands-on experience in machine learning or data science.
Culture & Benefits
- Opportunity to work within an agile development team (ML & AI ART).
- Hands-on experience across the full AI lifecycle, from initial concept to production.
- Collaborative environment working with experienced engineers and cross-functional teams.
- Culture that values entrepreneurial spirit and individual empowerment.
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