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Machine Learning Engineer (Remote)

Indeed
Full-time
Onsite
No experience limit
No degree limit
Spain
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Job Summary: Indra Group is seeking a Machine Learning Engineer to design and lead technological solutions for digital infrastructures, communications, and workspace, creating robust, secure, and scalable systems. Key Highlights: 1. Opportunity to design and lead innovative technological solutions 2. Work on robust, secure, and scalable digital infrastructures 3. A close-knit, transparent environment with flexibility to organize your work 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 Infrastructures, Communications \& Workspace team is much more than a professional challenge: it is the opportunity to design and lead technological solutions that support 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 customers’ 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 in you?** * + 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. + . Advanced English. C1 **What we offer you** * + **Stability and Future** **✨****:** Long-term projects at a leading company with **more than 50\.000 professionals**, backed by financial security. + **Innovative and High-Impact Projects** : You will work with cutting-edge technologies, delivering impact both nationally and internationally. + **A Close-Knit and Transparent Environment** : You will enjoy direct, fluid communication with managers and colleagues within a collaborative and open setting. + **Autonomy and Flexibility** **:** You will have the freedom to organize your work, with genuine work-life balance adapted to your rhythm. Some positions require shift work or on-call availability, depending on operational needs. + **A Career Plan Tailored to You** **:** Designed to accelerate your professional growth and development. + **Continuous Training** **:** via Open University and Udemy for Business (over 6\.000 courses to help you specialize!). + **Exclusive Well-being Discounts** **:** Enjoy benefits at gyms, restaurants, stores, leisure activities, 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 evaluate your experience and skills to determine whether you match our requirements. + Initial Contact (5\-10 min) : If you receive a call from an unknown number, it’s our team! It will be a brief conversation to get to know you and address 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 learn more about our company: values, career model, skills… so both you and our team can assess mutual fit. + Offer and Welcome : 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, supporting staff’s professional development and guaranteeing equal opportunities in recruitment, training, and promotion—providing a work environment free from 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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