End of Study Internship - Data Scientist / Machine Learning Engineer (Pre-Employment) M/F
Description For End of Study Internship - Data Scientist / Machine Learning Engineer (Pre-Employment) M/F
Ivalua, a global leader in cloud-based spend management solutions founded in 2000, is offering an end-of-study internship for a Data Scientist / Machine Learning Engineer position. This role is part of Ivalua's Artificial Intelligence team, working on cutting-edge Machine Learning techniques applied to large real-world databases in the procurement process management cycle.
As an intern, you'll join a team of two expert engineers, focusing on building and improving existing AI models for data extraction and document (invoice) classification. You'll analyze various Machine Learning and Deep Learning algorithms to address business issues and implement final models in a Web Service.
Key responsibilities include:
- Python development for NLP, implementing and optimizing data extraction and document classification models
- Working with experts to develop Machine Learning and Deep Learning skills
- Analyzing state-of-the-art approaches in online machine learning and natural language processing, including Large Language Models (LLMs)
- Analyzing real data to solve business problems with the help of domain experts
- Participating in the integration of ML applications into products and industrializing solutions
- Training, versioning, and deploying full-scale machine learning models
- Participating in POCs and implementing Machine Learning and Deep Learning algorithms
The ideal candidate should have:
- Advanced Python skills, especially in developing Machine Learning, LLM, and NLP models
- Strong understanding of Python libraries like pandas, numpy, scikit-learn, spaCy, transformers, XGBoost, and SentenceTransformer
- Experience with MLflow, Docker, and REST APIs for model management and deployment
- Data analysis skills to extract meaningful insights
- Ability to work effectively in multidisciplinary teams and communicate technical concepts to non-specialists
- Fluency in English, both written and spoken
Ivalua offers a hybrid work model (3 days on-site, 2 days remote), a stable and profitable work environment, and various team-building activities. The company has been recognized for its leadership, career growth opportunities, engineering teams, global culture, and company outlook.
Join Ivalua to be part of a diverse, inclusive, and innovative team working on making supply chains more efficient, sustainable, and resilient.
Responsibilities For End of Study Internship - Data Scientist / Machine Learning Engineer (Pre-Employment) M/F
- Python development for NLP: Responsible for developing, implementing and optimizing data extraction and document classification models using Python libraries
- Work with a team of experts to continue developing Machine Learning and Deep Learning skills
- Analyze state-of-the-art approaches in online machine learning, natural language processing such as Large Language Models (LLMs), named entity recognition or question answering
- Analyze real data to understand, with the help of business experts, how to solve business problems
- Participate in the integration of ML applications into our products and the industrialization of solutions in the product, in connection with the business teams
- Train, version and deploy full-scale machine learning models
- Participate in the realization of POCs and Machine Learning and Deep Learning algorithms to address business issues
Requirements For End of Study Internship - Data Scientist / Machine Learning Engineer (Pre-Employment) M/F
- Advanced mastery of Python: Expertise in developing Machine Learning, LLM and NLP models
- Data processing and NLP: Solid understanding and use of Python libraries such as pandas, numpy, scikit-learn, spaCy, transformers, XGBoost, and SentenceTransformer
- Model management and deployment: Hands-on experience with tools like MLflow, Docker, and REST APIs for model management and deployment
- Data analysis: Skills in data analysis to extract meaningful insights and aid decision-making
- Teamwork: Ability to collaborate effectively within multidisciplinary teams and communicate technical concepts to non-specialists
- Fluency in English, both written and spoken
Benefits For End of Study Internship - Data Scientist / Machine Learning Engineer (Pre-Employment) M/F
- Hybrid model (3 days on-site, 2 days remote work)
- Weekly company-provided meals for team gatherings
- Career development through training and career development program
- Inclusive work environment open to diversity
- Participation in various company events (sports competitions, musical events, and team building)
