Machine Learning Engineer — Production ML & Time-Series

Talantir; Madrid; On-site; EUR 60,000 - 110,000; Full time

Job summary

Talantir is hiring a Machine Learning Engineer to join our international team in Madrid. You will design and validate predictive models, develop time‑series forecasting, and drive ML across production pipelines using Python, TensorFlow, PyTorch, and Spark MLlib.

You will collaborate with data scientists, data engineers, and product teams to ensure models are robust, scalable, and aligned with business needs while complying with governance and security standards. English communication is required.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, Mathematics, Physics, or a related field.
• Demonstrated experience in predictive modelling, regression, and time‑series analysis.
• Machine learning and deep learning techniques experience.
• Python and related scientific libraries (NumPy, Pandas, Scikit‑learn).
• TensorFlow or PyTorch experience.
• Spark MLlib for distributed model training.
• Deploying models into production environments.
• Hands‑on experience with on‑premise platforms and cloud platforms.
• Curiosity and ability to rapidly learn new technologies, frameworks, and research methods.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work collaboratively in multidisciplinary, international teams.

Responsibilities

• Design, develop, and validate predictive models, regression algorithms, and time‑series forecasting models with focus on performance and robustness.
• Contribute to the full model lifecycle: research, experimentation, industrialization, deployment, and monitoring.
• Build ML and DL models using Python, Spark MLlib, TensorFlow, and PyTorch.
• Optimize and integrate models into distributed data pipelines on Cloudera, Spark, and DaaS architectures.
• Collaborate with Data Engineers to ensure efficient data ingestion and feature engineering in large‑scale environments.
• Work with Data Architects to ensure compliance with data governance and security standards.
• Partner with Data Scientists to design experiments and improve model quality.
• Contribute to product‑oriented initiatives with Product Managers and customers as needed.
• Apply best practices in MLOps, including CI/CD for ML and model monitoring.
• Ensure compliance with data privacy, security, and governance policies.
• Stay informed on advances in ML/DL and model optimization.
• Participate in agile ceremonies like sprint planning and architecture reviews.

Skills

Predictive modelling

Time-series analysis

Python

TensorFlow

PyTorch

Spark MLlib

Production deployment

Data governance

Collaboration

Education

Bachelor's or Master’s in CS/DS/Math/Physics

Tools

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Job description

Talantir is hiring a Machine Learning Engineer to join our international team in Madrid. You will design and validate predictive models, develop time‑series forecasting, and drive ML across production pipelines using Python, TensorFlow, PyTorch, and Spark MLlib.

You will collaborate with data scientists, data engineers, and product teams to ensure models are robust, scalable, and aligned with business needs while complying with governance and security standards. English communication is required.