ML Team Lead

NielsenIQ; Paris; Hybride; EUR 70 000 - 100 000; Plein temps

Résumé du poste

A leading consumer intelligence company in Paris seeks a Machine Learning Engineer Lead to oversee the development and deployment of ML models. The role involves managing a team, ensuring adherence to best practices, and collaborating with various teams to enhance ML workflows. Ideal candidates will have extensive experience in ML and team leadership, along with proficiency in Python and relevant frameworks.

Prestations

Flexible working environment

Volunteer time off

Employee Assistance Program (EAP)

Qualifications

• Minimum 5 years of experience in ML model development and management.
• Proven management experience in leading engineering teams.
• Fluency in English for effective stakeholder collaboration.

Responsabilités

• Oversee end-to-end ML model development and deployment.
• Lead and mentor a team of ML engineers.
• Collaborate with cross-functional teams for ML integration.

Connaissances

Python

TensorFlow

PyTorch

scikit-learn

Cloud Platforms

Data Engineering Workflows

Description du poste

Job Description: Machine Learning Engineer Lead

Oversee the end-to-end development, deployment, and optimization of machine learning models and algorithms.

Ensure the team's adherence to DevOps best practices and improve automation 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 environments.

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:

• Experience: Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production environments.
• Management Experience: Proven experience in managing and leading engineering teams.

Technical Skills:

• Proficiency in Python and its 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).
• Knowledge of DataBricks is a plus.

Additional Requirements:

• Excellent communication skills and fluency in English to collaborate effectively with stakeholders.

Additional Information:

Our office is located in PARIS XI. We offer a hybrid flexible working model where teams meet at the office when required for projects.

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

About NIQ:

NIQ is the world's leading consumer intelligence company, delivering comprehensive insights into consumer buying behavior and new growth pathways. In 2023, NIQ merged with GfK, expanding our global reach. As a portfolio company of Advent International, NIQ operates in over 100 markets, covering more than 90% of the world's population.

For more information, visit our website and follow us on LinkedIn, Instagram, Twitter, and Facebook.

Our Commitment:

NIQ is dedicated to diversity, equity, and inclusion, reflecting the communities we serve. We invite candidates who share this mission to join us. We are an Equal Opportunity Employer, making decisions without regard to race, religion, gender, or other protected classes.