| Position | Machine Learning Engineer H / M |
| Posted | 2025 October 22 |
| Expired | 2025 November 21 |
| Company | IZERTIS |
| Location | Madrid | ES |
| Job Type | Full Time |
Latest job information from IZERTIS for the position of Machine Learning Engineer H / M. If the Machine Learning Engineer H / M vacancy in Madrid matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at IZERTIS for the position of Machine Learning Engineer H / M below matches your qualifications.
OverviewWe are seeking a skilled and strategic Data Scientist to take ownership of our machine learning projects on Google Cloud Platform (GCP). The ideal candidate is a hands‑on expert in data science who also possesses a strong ability to bridge the gap between technical teams and business stakeholders.
ResponsibilitiesProject leadership & mentorship: Drive data science projects from inception to deployment, providing technical guidance and mentorship to other team members.
Business communication: Act as the primary point of contact between the data science team and business units. Translate business challenges into data science problems and clearly communicate complex technical results and their business implications to non‑technical stakeholders.
Architect, build, and deploy scalable machine learning models and data‑driven solutions using Google Cloud Platform services (e.g., Vertex AI, BigQuery, Cloud Storage, Dataflow).
Write high‑quality, production‑ready code in Python for data analysis, feature engineering, model training, and evaluation.
Project management: Define project scopes, timelines, and deliverables. Manage project priorities and ensure the timely delivery of high‑impact solutions.
Technical strategy: Stay current with the latest advancements in machine learning, AI, and Google Cloud technologies, and drive the adoption of best practices in MLOps and data science.
Strong experience with deep learning frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning algorithms. A strong track record of successfully leading complex data science projects from concept to production.
QualificationsExpert‑level programming skills in Python and proficiency with data science libraries (Pandas, NumPy, Scikit‑learn, etc.).
Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certification.
Experience working in an Agile / Scrum development environment.
Company BackgroundIzertis, with more than 28 years of experience, listed on the BME Continuous Market and among the 1,000 fastest growing companies among European countries, gives you the opportunity to develop your career with more than 2,300 employees through its offices in Europe, America and Africa and with presence in more than 50 countries where we provide services and projects through a broad portfolio of solutions.
#J-18808-LjbffrAfter reading and understanding the criteria and minimum qualification requirements explained in the job information Machine Learning Engineer H / M at the office Madrid above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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