Lead ML Engineer

Location Type: Remote Employment Type: Full-time

---

Position Overview

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.

---

Responsibilities

• 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.

---

Requirements

• Experience:
  • Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.
  • Initial experience in management/leading teams is required (You'll be leading a team of 4 direct reports).
  • This role is 50% leading & 50% Technical (Hands-on).
• 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 (e.g., AWS, GCP, Azure) and ML deployment frameworks (e.g., MLflow, Kubeflow).
  • Familiarity with data engineering workflows and tools (e.g., Spark, Airflow).
  • Good knowledge of DataBricks would be a plus.
• Other Skills:
  • Proven track record of managing and mentoring engineering teams.
  • Excellent communication skills and fluency in English & French to effectively collaborate with diverse stakeholders.

---

Additional Information

• Our office is located in METRO (Ventas) - Madrid.
• We have a flex working model.
• Our teams meet at the office 2 PER MONTH.

---

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 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 insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

Follow us on: LinkedIn | Instagram | Twitter | Facebook

---

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, nati.