AI Engineer

Acolad is the global leader in content and language solutions, supporting companies in every industry to scale across markets and enable growth through cutting-edge technology and localization expertise.
92100 Boulogne-Billancourt, France
Machine Learning
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For AI Engineer

Acolad is seeking a dynamic AI Engineer with proven expertise in deploying machine learning (ML) and deep learning (DL) models into production. The role involves transforming AI models into production-ready applications, with a focus on LLM-native development, vector databases, and building innovative AI-driven applications and services.

Key responsibilities include:

  • Deploying and optimizing ML/DL models for scalability, performance, and reliability in production environments
  • Developing LLM-native applications
  • Leveraging vector databases to enhance retrieval performance and streamline AI workflows
  • Collaborating with data scientists and product teams to integrate models into business operations
  • Implementing MLOps best practices
  • Turning experimental models into production-ready applications

The ideal candidate should have:

  • 3+ years of experience deploying AI models
  • Expertise in building AI applications
  • Experience with Large Language Models (LLMs)
  • Proficiency in Python and cloud platforms (AWS, GCP, or Azure)
  • Knowledge of vector databases
  • Strong problem-solving skills and adaptability

Acolad offers a unique opportunity for professional development in a collaborative global environment that promotes talent and creativity. The company is committed to diversity, equity, and inclusion, welcoming applications from all qualified candidates regardless of their backgrounds.

Join Acolad to drive growth and innovation across some of the world's leading brands in a dynamic, fast-paced environment focused on cutting-edge AI technologies and solutions.

Last updated 3 months ago

Responsibilities For AI Engineer

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

Requirements For AI Engineer

Python
Kubernetes
  • 3+ years of experience deploying AI models
  • Expertise in building AI applications
  • Experience with Large Language Models (LLMs)
  • Proficiency in Python and cloud platforms (AWS, GCP, or Azure)
  • Experience with vector databases
  • Knowledge of MLOps pipelines and best practices
  • Strong problem-solving skills and adaptability

Interested in this job?

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