Machine Learning Tech Lead

Madrid, Community of Madrid, Spain

Apply with AI Apply

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, Market ResearchIndustries

Requirements

Candidates must have a minimum of 5 years of professional experience in developing, deploying, and managing machine learning models in production, with initial experience in management or leading teams. Proficiency in Python and its ML libraries like TensorFlow, PyTorch, and Scikit-learn is required, along with a solid understanding of ML algorithms, data preprocessing, and model evaluation. Experience with cloud platforms (AWS, GCP, Azure), ML deployment frameworks (MLflow, Kubeflow), and familiarity with data engineering tools (Spark, Airflow) are necessary. Excellent communication skills in English and French are essential, and knowledge of DataBricks is a plus.

Responsibilities

The Machine Learning Tech Lead will oversee the end-to-end development, deployment, and optimization of machine learning models and algorithms, ensuring the team adheres to DevOps best practices and improves process automation. They will lead, mentor, and manage a team of ML engineers, providing technical guidance and fostering collaboration. Responsibilities include collaborating with cross-functional teams to integrate ML models, designing and implementing scalable ML pipelines, monitoring and tuning deployed models for reliability and efficiency, and staying updated on industry trends. The role also involves creating technical documentation and conducting code reviews.

Skills

Machine Learning

Python

TensorFlow

PyTorch

Scikit-learn

Cloud Platforms

AWS

GCP

Azure

MLOps

Data Preprocessing

Model Evaluation

Leadership

Mentoring

Team Management

Technical Documentation

Code Reviews

Nielsen

Global measurement and data analytics provider

About Nielsen

Nielsen provides measurement and data analytics services to help businesses understand consumers and markets globally. The company operates through two main divisions: Nielsen Global Media, which offers reliable metrics for the media and advertising industries, and Nielsen Global Connect, which supplies consumer packaged goods manufacturers and retailers with actionable insights about the marketplace. Nielsen combines its proprietary data with other sources to give clients a comprehensive view of current trends and future opportunities. With a presence in over 100 countries, Nielsen aims to support companies in making informed decisions to drive innovation and growth.

Town of Clarkstown, New YorkHeadquarters

1963Year Founded

$45.1MTotal Funding

ACQUISITIONCompany Stage

Data & Analytics, ConsultingIndustries

10,001+Employees

Benefits

Health Insurance

401(k) Retirement Plan

401(k) Company Match

Unlimited Paid Time Off

Risks

Competition from digital-native analytics firms threatens Nielsen's market share.

Privacy regulations may impact Nielsen's data collection capabilities.

Private equity acquisition could lead to strategic shifts misaligned with client needs.

Differentiation

Nielsen offers comprehensive cross-platform measurement solutions, including mobile media markets.

The Diverse Media Equity program elevates diverse-owned media companies' visibility.

Nielsen Impact Score evaluates marketing value of university athletic programs.

Upsides

Acquisition of Telephia enhances Nielsen's mobile media measurement capabilities.

Partnerships with P&G and NMSDC support diverse media representation.

Collaboration with TikTok improves digital audience measurement services.

Land your dream remote job 3x faster with AI

Try Jobo Free