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Junior AI Engineer

Global leader in content and language solutions, supporting companies with technology and localization expertise across markets since 1993.
92100 Boulogne-Billancourt, France
Machine Learning
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
AI
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Job Description

Acolad, the global leader in content and language solutions, is seeking a Junior AI Engineer to join their Technology and Research & Development team. With a presence in 23 countries and over 1,800 employees, Acolad offers a unique opportunity for professional growth in a collaborative global environment.

The role focuses on deploying machine learning and deep learning models into production, with emphasis on LLM-native development and vector databases. You'll be responsible for transforming AI models into production-ready applications, working closely with data science teams to drive experimentation and implement scalable AI solutions.

Key responsibilities include deploying and optimizing ML/DL models, developing LLM-native applications, leveraging vector databases, and implementing MLOps best practices. The ideal candidate should have 3+ years of experience in deploying AI models, strong expertise in Python and cloud platforms, and experience with Large Language Models.

This hybrid position offers the opportunity to work with cutting-edge AI technologies while contributing to Acolad's mission of enabling growth across global markets. The company values diversity and inclusion, welcoming applications from all qualified candidates regardless of their backgrounds.

Join a company that has been innovating in the language solutions space since 1993, working with a network of over 20,000 linguists worldwide. This role presents an excellent opportunity to shape the future of AI applications in language and content solutions while working with some of the world's leading brands.

Last updated 20 days ago

Responsibilities For Junior AI Engineer

  • Deploy and optimize ML/DL models for production environments
  • Develop LLM-native applications
  • Utilize vector databases to enhance retrieval performance
  • Collaborate with data scientists and product teams
  • Implement MLOps best practices
  • Turn experimental models into production-ready applications

Requirements For Junior AI Engineer

Python
  • 3+ years of experience deploying AI models
  • Expertise in building AI applications
  • Experience with Large Language Models (LLMs)
  • Experience with vector databases
  • Proficiency in Python and cloud platforms (AWS, GCP, or Azure)
  • Research and experimentation mindset
  • MLOps knowledge
  • Problem-solving and adaptability
  • Familiarity with prompt engineering techniques (preferred)
  • Experience in creating PoCs (preferred)
  • Knowledge of caching strategies (preferred)