Machine Learning Platforms Product Owner

hace 4 semanas

Esplugues de Llobregat, España Nestle Operational Services Worldwide SA A tiempo completo

**We are looking for ML Platforms Product Owner to be part of our Analytics Technology team.**

**Position Snapshot**
- Location: Barcelona, Spain
- Type of Contract: Permament
- Stream: IT Analytics, Data and Integration
- Type of work: Hybrid
- Work Language: Fluent Business English

**The role**
The Product Owner maximizes the value of the product and works with the Product Manager to ensure releases align with the product strategy and customer needs.
They are responsible for prioritizing backlog items and delivering tactical value in the product lifecycle.

**What you’ll do**
- Ensure that product increments and releases align with mid-long-term strategy and work with Product Manager to build and deliver Product Roadmap and Vision.
- Ensure product/platform governance and compliance, coordinate vendor engagement, and activities aligned with Product Manager.
- Advocate for the receiver by observing and interacting with users, reviewing feedback, and defining personas to guide development.
- Lead backlog management, release planning, and decision-making based on various inputs.
- Help team improve their process, provide feedback, and communicate product progress to stakeholders.

**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.

**Minimum qualifications**:

- Bachelor's or Master's degree in Computer Science with a focus on Machine Learning/Artificial Intelligence.
- Ability to effectively communicate complex technical issues to diverse audiences.
- Experience in Machine Learning methods and frameworks, deployed on Azure cloud environment and using Python.
- Familiarity with Agile principles and Scrum, project management education and experience, and understanding of ML technologies and MLOps.
- Strong communication skills in English and experience working with decentralized teams in multiple locations.

**Bonus Points If You**:

- Are experienced in DevOps
- Have project management education and experience (eg. PMP)
- Are familiar with Generative AI and experienced in leveraging LLMs (eg. GPT, Llama or equivalent), and how business can benefit from it in practice

**About the IT Hub**
At Nestlé IT, we are a diverse, global team of IT professionals in the biggest health, nutrition and wellness company of the world. We strive to create an environment where people are valued for who they are. We innovate every day through future ready technologies to create opportunities for Nestlé to delight consumers, customers and employees alike. We collaborate with partners around the world to deliver tangible value at global scale. We continuously work to develop our people to be future ready.

**About Nestlé**

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.

**Join Nestlé’s IT Hub #beaforceforgood**

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

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