Share this Job

Machine Learning Engineer

Date: Jul 24, 2022

Location: Punto Polanco, Mexico City, MX

Company: IFF Family of Companies

Job Description

It is an exciting time at IFF as we continue to grow our Digital Operations team! 

IFF is an industry leader in food, beverage, scent, health and biosciences.  Join a team where science and creativity meet to create essential solutions for a better world.  We are an international collective of thinkers represented at over 110 manufacturing sites. Together, we will do more good for people and planet. 


  • Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring and retraining
  • Use Deep Learning frameworks like PyTorch, Tensorflow, and MXNet to help build DL models.
  • Work with our Big Data experts to analyze, extract, normalize, and label relevant data and also  operationalize models after they are built.
  • Improve ML models reproducibility, auditing, and performance capabilities
  • Design and conducts training sessions on tools, data sources, and architecture. Provides job aids and mentoring to team members and business users.
  • Keep up to speed with the latest industry and technology developments, and apply them to solve analytics challenges focused on business performance

Job Requirements


    • Bachelor’s Degree (Engineering or Computer Science preferred)
    • At least 5 years prior experience in production and supply chain processes
    • Project Management skills (planning, rituals, tracking, KPIs, stakeholder management)
    • Ability to lead change and deliver results
    • Effective communication skills across all levels of the organization


Training / Certifications

    • Business Translator training
    • Project Management training
    • Data Scientist Basic
    • Scrum Master certification


We are a global leader in taste, scent and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit to learn more.