ML Team Lead

JR Spain; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology firm in Madrid is seeking an experienced Machine Learning Team Lead to oversee the development and deployment of machine learning models. You will lead a team of engineers, ensuring best practices and collaboration with cross-functional teams. The ideal candidate has 5+ years of experience in ML and proficiency in Python and related frameworks. This role offers a flexible and hybrid working environment.

Servicios

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee Assistance Program (EAP)

Formación

• 5+ years of experience in machine learning.
• Initial management or leadership experience is required.
• Solid understanding of ML algorithms and data preprocessing.

Responsabilidades

• Oversee development and deployment of machine learning models.
• Lead and mentor a team of machine learning engineers.
• Collaborate with cross-functional teams to integrate ML models.

Conocimientos

Machine learning model development

Team leadership

Proficiency in Python

Experience with ML libraries

Understanding of cloud platforms

Communication skills in English

Communication skills in French

Herramientas

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

MLflow

Kubeflow

Spark

Airflow

DataBricks

Descripción del empleo

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Job Description

• Oversee the end-to-end development, deployment, and optimization of machine learning models and algorithms.
• Ensure the team's DevOps best practices and improve the automation of our processes.
• Lead, mentor, and manage a team of ML engineers, providing technical guidance and fostering a collaborative team culture.
• Collaborate with cross-functional teams, including data engineering and operations, to integrate ML models into the company’s architecture and workflows.
• Design and implement scalable machine learning pipelines and systems for production.
• Ensure the reliability, scalability, and efficiency of deployed models through regular monitoring and performance tuning.
• Stay updated with industry trends, tools, and best practices to continuously improve the ML workflow.
• Create technical documentation, conduct code reviews, and ensure adherence to best practices.

Qualifications

• Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.
• Initial management/leadership experience is required.
• Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of machine learning algorithms, data preprocessing techniques, and model evaluation metrics.
• Experience with cloud platforms (AWS, GCP, Azure) and ML deployment frameworks (MLflow, Kubeflow).
• Familiarity with data engineering workflows and tools (Spark, Airflow).
• Good knowledge of DataBricks is a plus.
• Proven track record of managing and mentoring engineering teams.
• Excellent communication skills and fluency in English and French.

Additional Information

• Location: Madrid (near Ventas metro station).
• Hybrid work model: Office once a week, flexible scheduling.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee Assistance Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering comprehensive insights into consumer behavior. In 2023, NIQ merged with GfK, expanding our global reach. We operate in over 100 markets, covering more than 90% of the world's population. For more information, visit NIQ.com.

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Diversity & Inclusion

NIQ is committed to diversity, equity, and inclusion, reflecting the communities we serve. We are an Equal Opportunity Employer and invite candidates who share our mission to join us. Learn more at Diversity & Inclusion.