¡Activa las notificaciones laborales por email!

Lead Machine Learning Engineer

Nestlé

Ciudad de México

Híbrido

MXN 60,000 - 100,000

Jornada completa

Hace 9 días

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

An established industry player is seeking a Machine Learning Engineer to lead innovative GenAI projects. This role involves developing cutting-edge chatbots and utilizing advanced Natural Language Processing techniques to enhance business operations. The ideal candidate will thrive in a dynamic environment, leveraging their expertise to drive impactful solutions. With a commitment to personal and professional growth, this position offers a hybrid working model and a range of exceptional benefits. Join a team dedicated to making a difference in the world of health and nutrition!

Servicios

Health Insurance
Restaurant Card
Mobility Plan
Flexible Remuneration
Yoga and Zumba Activities
Volunteering Opportunities

Formación

  • Experience in developing GenAI powered chatbots.
  • Ability to follow latest developments in GenAI.

Responsabilidades

  • Write clean and efficient code for GenAI applications.
  • Guide the company on feasible GenAI solutions.

Conocimientos

Natural Language Processing (NLP)
GenAI Development
API Querying
Data Analysis
Presentation Skills

Educación

Undergraduate Degree in Computer Science
Master’s Degree in a related field

Herramientas

MLFlow
Vector Databases

Descripción del empleo

We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. Want to learn more? Visit us at www.nestle.com.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

Step outside your comfort zone; share your ideas, way of thinking and working to make a difference to the world, every single day. You own a piece of the action – make it count.

WE ARE LOOKING FOR

Machine Learning Engineer / Gen AI Engineer who will serve as our GenAI expert, so they should have hands-on experience in developing GenAI powered chatbots and good understanding of text processing techniques in machine learning (Natural language processing), and should closely follow all new development in GenAI field so they can provide valuable recommendations for how to implement them to drive business value.

ACTIVITIES / RESPONSIBILITIES

The Machine Learning Engineer / Gen AI Engineer will be responsible for:

  • Write clean and efficient code.
  • Innate curiosity and be closely following all things happening in the GenAi world. This field is rapidly evolving, and the person should be interested in it to know about all the latest developments.
  • Experience in Natural Language Processing models (NLP)
  • Able to think from an "Effort vs Impact" perspective to ensure that work is adding business value. There are tools (for e.g. fine-tuning GenAI models) that require too much effort (both financial and manual) and lead to minimal improvement
  • Able to guide Nestle in what is feasible via GenAI and what would not work. Be able to detect when someone, especially a vendor, is promising a solution that GenAI would not be able to accomplish or would not be well suited

EXPERIENCE & BACKGROUND REQUIRED

  • Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, or a similar field. Master’s degree in a similar field is strongly preferred.
  • Fluent English conversation skills.
  • High initiative, self-starter, and able to work with limited supervision
  • Facilitation and presentation skills, organization and time management.
  • Querying genAi models via API
  • Experience in Retrieval Augmented Generation (RAG)
  • Orchestrating agentic framework
  • LLM evaluation (using llm-as-a judge and other metrics like BLEU)
  • Nice to have:
    • Experience in fine-tuning LLMs
    • Understanding when to use the right LLM (large or small) for a specific task
    • Use of MLFlow to capture LLM logs
    • Experience with vector databases

About the IT Hub

We are a team of IT professionals from many countries and diverse backgrounds, each with unique missions and challenges in the biggest health, nutrition and wellness company of the world. We innovate every day through forward-looking technologies to create opportunities for Nestlé’s digital challenges with our consumers, customers and at the workplace. We collaborate with our business partners around the world to deliver standardized, integrated technology products and services to create tangible business value.

How we will proceed:
You apply / send us your CV → We contact relevant applicants → Interviews → Feedback → Job Offer communication to the Finalist → First working day

We offer you:

We offer more than just a job. We put people first and inspire you to become the best version of yourself.

  • Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
  • Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
  • Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
  • Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Join IT Hub Nestlé #beaforceforgood

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.