Junior Machine Learning Engineer (AI)

TL;DR

Junior Machine Learning Engineer (AI): Developing and deploying applied research projects using state-of-the-art machine learning techniques to transform business operations with an accent on deep learning and AI productization. Focus on implementing RNNs and CNNs, optimizing clustering and classification algorithms, and integrating ML models into production systems.

Location: Hybrid in Lausanne or Zürich, Switzerland

Company

hirify.global is an AI-native firm combining strategy, deep technical integration, and product development to build scalable AI systems for regulated industries.

What you will do

• Work on applied research projects using state-of-the-art machine learning techniques.
• Help deploy ML models for customers to transform their business operations.
• Collaborate with a technical team to learn and share the latest technologies and applications.
• Present technical results and findings to non-technical stakeholders.

Requirements

• Must be an EPFL or ETH student/graduate (internship must be part of studies).
• Proficiency in Python programming.
• Experience with ML/DL frameworks such as Scikit-learn, TensorFlow, Keras, or PyTorch.
• Knowledge of deep learning (RNN, CNN) and supervised/unsupervised learning (clustering, regression, classification).
• Understanding of Unix/Linux operating systems.
• Strong communication skills and a problem-solving attitude.

Nice to have

• Familiarity with web development.
• Experience with REST API and microservices.

Culture & Benefits

• Competitive compensation package.
• Yearly education and sport budgets.
• Flexible working culture emphasizing work-life balance.
• International, knowledgeable, and passionate team environment.
• Opportunity to have a direct impact on company growth and thousands of users.