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Advertising & Public Relations · 51 to 200 Employees · Paris, France
Hiring: Engineering
What employees say
+ - Teams tend to have excellent expertise, which is not a given in the agency world. You find some true experts at ESV - Because it's run so cost-consciously, it will take a while
− - The management of the business has questionable ethics (I witnessed freelancers and suppliers not getting paid) - The agency is in a slow downwards spiral for a number of years
More reviews on the company profile.
Job description
Overview
What role you will play in team: Ensure seamless deployment and maintenance of machine learning models in production environments.What you will do: Work closely with data scientists to deploy, monitor, and optimize machine learning models.Key responsibility:Develop and maintain CI/CD pipelines for model deployment.Monitor model performance and identify areas for improvement.Tro
Responsibilities
- What role you will play in team: Ensure seamless deployment and maintenance of machine learning models in production environments.What you will do: Work closely with data scientists to deploy, monitor, and optimize machine learning models.Key responsibility:Develop and maintain CI/CD pipelines for model deployment.Monitor model performance and identify areas for improvement.Troubleshoot and resolve deployment issues.
- Collaborate with data scientists and engineers to improve model scalability and efficiency.
- Implement monitoring and alerting systems for model performance.Required Qualification and Skills:Bachelor's or Master's degree in Computer Science, Engineering, or related field.Strong experience with cloud platforms (AWS, Azure, GCP).Experience with containerization technologies (Docker, Kubernetes).Experience with CI/CD pipelines.Experience with model monitoring and logging tools.Benefits Included:Competitive salary and benefits package.
- Work with cutting edge AI technologies.Opportunities for professional development and growth.Collaborative and supportive team environment.A Day in the Life: A typical day involves working with DevOps engineers, setting up and automating deployment pipelines, and monitoring model performance in production.
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Job application FAQ
Last updated 3 October 2026
- How do I apply for AI/ML Model Deployment Engineer at Digital?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Digital may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML Model Deployment Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI/ML Model Deployment Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI/ML Model Deployment Engineer role at Digital?
- This is a mid-level AI/ML Model Deployment Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.