TL;DR
Software Development Engineer Internship (Machine Learning): Developing and optimizing ML models for massive-scale production deployment with an accent on designing efficient ML pipelines and MLOps infrastructure. Focus on implementing solutions for real-time inference, distributed training, and integrating cutting-edge ML solutions into products used by millions.
Location: Onsite in Luxembourg or other EMEA locations including France, Germany, Italy, Poland, Romania, Spain, and the UK. Please note these are not remote positions.
Company
hirify.global is a multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
What you will do
- Develop and optimize ML models for production deployment at massive scale.
- Design and implement efficient ML pipelines and data processing systems.
- Create and enhance evaluation frameworks for model performance.
- Build and maintain MLOps infrastructure and tools.
- Contribute to the development of innovative prompting and retrieval strategies.
- Implement solutions for real-time inference and model serving.
- Work on large-scale distributed training systems.
Requirements
- Must be 18 years of age or older.
- Currently enrolled in or completed a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields.
- Expected graduation between October 2026 - September 2029.
- Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript.
- Demonstrated experience with data structures implementation, basic algorithm development, or object-oriented design principles.
Nice to have
- Experience with Deep Learning (C++ or Python, AI, Neural Network, Tensorflow, PyTorch).
- Previous technical internship(s) or demonstrated project experience.
- Experience with cloud platforms (preferably AWS) or database systems (SQL and NoSQL).
- Strong problem-solving and analytical skills.
- Excellent written and verbal communication skills.
Culture & Benefits
- Paired with both a manager and a mentor who will guide your development.
- Opportunity to attend team stand-ups and technical design reviews.
- Chance to learn about cutting-edge ML technologies and best practices.
- Contribute to real AI products used by millions of customers.
- Work in a fast-paced, innovation-driven environment.
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