Machine Learning Tech Lead
Offer summary
Qualifications:
Minimum 5 years of experience in developing and managing machine learning models in production., Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and Scikit-learn., Experience in leading and mentoring engineering teams, with initial management experience required., Strong understanding of machine learning algorithms, data preprocessing, and model evaluation..Key responsibilities:
- Oversee the development, deployment, and optimization of ML models.
- Lead and mentor a team of ML engineers, fostering collaboration.
- Collaborate with cross-functional teams to integrate ML solutions into workflows.
- Ensure the reliability and scalability of deployed models through monitoring and tuning.
Job description
Company Description
#LIremote
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 Description
Oversee the endtoend development, deployment, and optimization of machine learning models and algorithms.
Ensuring the teams 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 crossfunctional 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, 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.
Experience: initial experience in management leading teams is required (Youll 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 librariesframeworks (e.g., TensorFlow, PyTorch, Scikitlearn).
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
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 flex working model our Teams meet at the office 2 PER MONTH
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- EmployeeAssistanceProgram (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 stateoftheart 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
Want to keep up with our latest updates?
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 OpportunityAffirmative ActionEmployer, 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 nondiscrimination 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: https:nielseniq.comglobalennewscenterdiversityinclusion
#LIremote
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 Description
Oversee the endtoend development, deployment, and optimization of machine learning models and algorithms.
Ensuring the teams 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 crossfunctional 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, 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.
Experience: initial experience in management leading teams is required (Youll 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 librariesframeworks (e.g., TensorFlow, PyTorch, Scikitlearn).
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
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 flex working model our Teams meet at the office 2 PER MONTH
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- EmployeeAssistanceProgram (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 stateoftheart 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
Want to keep up with our latest updates?
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 OpportunityAffirmative ActionEmployer, 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 nondiscrimination 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: https:nielseniq.comglobalennewscenterdiversityinclusion
Oversee the endtoend development, deployment, and optimization of machine learning models and algorithms.
Ensuring the teams 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 crossfunctional 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, code reviews, and ensure adherence to best practices.
Experience: Minimum 5 years of professional experience in developing, deploying, and managing machine learning models in production.
Experience: initial experience in management leading teams is required (Youll be leading a team of 4 direct reports)
This role is 50% leading & 50% Technical (Hands on)
Proficiency in Python and its ML librariesframeworks (e.g., TensorFlow, PyTorch, Scikitlearn).
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
Proven track record of managing and mentoring engineering teams.
Excellent communication skills and fluency in English & French to effectively collaborate with diverse stakeholders.
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- EmployeeAssistanceProgram (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 stateoftheart 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
Want to keep up with our latest updates?
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 OpportunityAffirmative ActionEmployer, 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 nondiscrimination 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: https:nielseniq.comglobalennewscenterdiversityinclusion
Additional Information
Our office is located in METRO (Ventas) Madrid
We have flex working model our Teams meet at the office 2 PER MONTH
Our Benefits
Technical Skills:
Qualifications
Required profile
Experience
Other Skills
- Team Management
- Communication
- Leadership
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