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Machine Learning Engineer (Remote)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Spain, 28001
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Description

Job Summary: Indra Group is seeking a Machine Learning Engineer to design and lead technological solutions that support the evolution of systems and communications, building robust, secure, and scalable digital infrastructures. Key Highlights: 1. Opportunity to design and lead advanced technological solutions 2. Work with robust, secure, and scalable digital infrastructures 3. Innovative and high-impact projects leveraging cutting-edge technologies Location: ES Professional Profile: IT Infrastructure Required Experience: More than 2 years of experience Work Modality: Remote **Indra Group, Tech for the future.** Joining our Digital Infrastructure, Communications \& Workspace team is much more than a professional challenge: it is the opportunity to design and lead technological solutions that accompany the evolution of current and future systems and communications. We build robust, secure, and scalable digital infrastructures, ensuring high reliability levels, boosting organizational productivity, and optimizing our clients’ return on investment. **Join our team!** As part of our positioning as a leading company, we aim to strengthen our team with **a Machine Learning Engineer** **What will you do?** * + Develop and maintain Machine Learning pipelines (training, validation, deployment, and retraining). + Manage the model lifecycle: versioning, deployment, and production operations. + Monitor model performance and drift (data/model drift). + Define best practices for data governance and model quality. + Expose models via APIs and scalable services. **What are we looking for?** * + Experience working with Machine Learning or MLOps platforms. + Knowledge of building ML pipelines and deploying models into production. + Experience with containers (Docker, Kubernetes or similar). + Familiarity with model versioning and experiment management. + Knowledge of model monitoring (performance, drift, metrics). + Experience working with APIs and data services. + Valuable experience with hardware acceleration (GPU/TPU) and scalable environments. + . High English proficiency. C1 **What we offer you** * + **Stability and Future** **✨****:** Long-term projects within a leading company with **over 50\.000 professionals**, backed by financial security. + **Innovative and High-Impact Projects** : You will work with cutting-edge technologies, delivering impact at both national and international levels. + **Close and Transparent Environment** : Enjoy direct and fluid communication with managers and colleagues in a collaborative and open setting. + **Autonomy and Flexibility** **:** You’ll have the freedom to organize your work, with genuine work-life balance adapted to your pace. Some positions require shift work or on-call availability, depending on operational needs. + **Personalized Career Plan** **:** Designed to accelerate your professional growth and development. + **Continuous Training** **:** via Open University and Udemy for Business (over 6\.000 courses to specialize!). + **Exclusive Well-being Discounts** **:** Enjoy benefits at gyms, restaurants, stores, leisure, and more as an Indra employee. + **Competitive Compensation** and **flexible compensation plans** tailored to your needs. **What does our selection process look like?** * + Profile Review : We assess your experience and skills to determine if you match our requirements. + Initial Contact (5\-10 min) : If you receive a call from an unknown number, it’s our team! A brief conversation to get to know you and answer any questions. + Technical Interview : You’ll meet the team, who will explain the project and daily tasks. We’ll also explore your technical knowledge. Additionally, short psychological and English competency assessments may be conducted (if required). + Interview with Talent Acquisition Team : We want you to better understand our company: values, career model, skills… so both you and our team can evaluate mutual fit. + Offer and Onboarding : If everything goes well, you’ll join our team and begin this new chapter together! *Our commitment is to foster workplaces where people are treated with respect and dignity, promoting professional development of staff and guaranteeing equal opportunities in recruitment, training, and promotion, while providing a work environment free from any discrimination based on gender, age, disability, sexual orientation, gender identity or expression, religion, ethnicity, marital status, or any other personal or social circumstance.*

Source:  indeed View original post
David Muñoz
Indeed · HR

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