ML Tech Lead

NielsenIQ; Valladolid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A leading consumer intelligence company seeks a Lead ML Engineer to drive machine learning projects. This role involves overseeing model development, mentoring a team, and collaborating with data engineering. The ideal candidate has extensive experience in ML, cloud platforms, and strong leadership skills.

Servicios

Flexible working environment

Volunteer time off

LinkedIn Learning access

Employee Assistance Program (EAP)

Formación

• Minimum 5 years of experience in ML models.
• Initial management or team leadership experience required.
• Excellent communication skills in English and French.

Responsabilidades

• Oversee development and optimization of ML models.
• Lead and mentor a team of ML engineers.
• Collaborate with cross-functional teams.

Conocimientos

Python

Machine Learning Algorithms

Data Preprocessing

Model Evaluation Metrics

Cloud Platforms

Data Engineering Workflows

Communication Skills

Herramientas

TensorFlow

PyTorch

Scikit-learn

AWS

GCP

Azure

MLflow

Kubeflow

Spark

Airflow

DataBricks

Descripción del empleo

Company Description

#LI-hybrid

As the Lead ML Engineer, you will work closely with operations and data engineering teams to drive the success of machine learning projects while aligning them with organizational goals. Your leadership and technical acumen will play a pivotal role in scaling our ML solutions and ensuring their robustness, efficiency, and business impact.

Job Responsibilities

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

Qualifications

1. Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.
2. Initial management or team leadership experience is required.
3. 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).
• Good knowledge of DataBricks is a plus.
• Proven track record of managing and mentoring engineering teams.
• Excellent communication skills in English and French to collaborate effectively with diverse stakeholders.

Additional Information

- We have a hybrid working model; teams meet at the office once per week.

Our Benefits

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

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering comprehensive insights into consumer buying behavior and revealing new growth pathways. In 2023, NIQ merged with GfK, expanding its global reach. With advanced analytics and state-of-the-art platforms, NIQ provides the Full View of retail and consumer insights. As an Advent International portfolio company, NIQ operates in over 100 markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our Commitment to Diversity, Equity, and Inclusion

NIQ is dedicated to reflecting the diversity of the clients, communities, and markets we serve. We promote inclusion and diversity in our workforce and measurement products. We welcome candidates who share this mission. We are an Equal Opportunity/Affirmative Action employer, making decisions regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or other protected classes. Learn more at Diversity & Inclusion.