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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.Β
Oversee the end-to-end development, deployment, and optimization of machine learning models and algorithms.Β
Ensuring the team’s DevOps best practices and improve the automation of our processesΒ
Lead, mentor, and manage a team of ML engineers, providing technical guidance and fostering a collaborative team culture.Β
Collaborate with cross-functional teams, including data engineering and operations, to integrate ML models into the companyβs architecture and workflows.Β
Design and implement scalable machine learning pipelines and systems for production.Β
Ensure the reliability, scalability, and efficiency of deployed models through regular monitoring and performance tuning.Β
Stay updated with industry trends, tools, and best practices to continuously improve the ML workflow.Β
Create technical documentation, code reviews, and ensure adherence to best practices.Β
Experience: Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.Β
Experience: initial experience in management/ leading teamsΒ is required (You’ll be leading a team of 4 direct reports)
This role is 50% leading & 50% Technical (Hands on)
Technical Skills:Β
Proficiency in Python and its ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Β
Solid understanding of machine learning algorithms, data preprocessing techniques, and model evaluation metrics.Β
Experience with cloud platforms (e.g., AWS, GCP, Azure) and ML deployment frameworks (e.g., MLflow, Kubeflow)Β
Familiarity with data engineering workflows and tools (e.g., Spark, Airflow)
Good knowledge of DataBricks would be a plusΒ
Proven track record of managing and mentoring engineering teams.Β
Excellent communication skills and fluency in EnglishΒ & French to effectively collaborate with diverse stakeholders.Β
– Our office is located in METRO (Ventas) – Madrid
– We have flex working model- our Teams meet at the office 2 PER MONTHΒ
Our Benefits
About NIQ
NIQ is the worldβs leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsβdelivered with advanced analytics through state-of-the-art platformsβNIQ delivers the Full Viewβ’. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the worldβs population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:Β https://nielseniq.com/global/en/news-center/diversity-inclusion
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory βΊ
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NielsenIQ is hiring a remote Machine Learning Tech Lead from πͺπΈ Spain
This is a Full Time role.
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