[Hiring] Principal ML Engineer @NielsenIQ

Role Description

We are seeking a Principal ML Engineer with over 8 years of professional experience in software development. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer, you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally.

This position is to work on AI / Machine Learning related projects and some Agentic Pipelines. We are looking for someone with experience in Data Pipelines (ideally focused on ML workloads) and/or complex microservices architectures.

Key Responsibilities

• Design scalable software solutions with a focus on quality, performance, and maintainability.
• Lead software architecture decisions, ensuring the design aligns with business requirements and technical standards.
• Collaborate with Research Leads and Product Owners to gather requirements, design MLOps pipelines, and coordinate the software delivery that adds value to the business.
• Create and maintain documentation for the initiatives the team is participating in.
• Collaborate with a team of experienced and junior developers to deliver the solutions assigned.
• Perform code reviews, mentor other developers, and promote best practices in software development.
• Be accountable for the tech debt of the systems supported.
• Lead the discovery work for new tech trends or techniques that fill our company/projects needs.

Qualifications

• 8+ years of professional experience in software development.
• Proven experience leading ML based systems.
• Strong foundation in software engineering principles and architecture.
• Proficiency in design software architecture and data pipelines.
• Familiarity with cloud services (e.g., Azure, AWS, GCP).
• Experience working in Agile/Scrum environments. (SAFE is a plus)
• Excellent communication skills in English, both written and verbal.
• Knowledge of testing frameworks and test automation (Python).

Requirements

• Experience with Python and/or Machine Learning projects (CV, NLP).
• Experience with CI/CD pipelines (Github Actions) and DevOps practices.
• Knowledge of testing frameworks and test automation.
• Experience working with data transformations (pandas, spark, arrow, databricks).
• Experience serving models using GPUs (CUDA, Triton, Dynamic/continuous batching) (LLMs and/or other Deep Learning models).

Benefits

• Competitive salary based on experience and skills.
• Flexible working hours and the possibility of remote work.
• Opportunities for career growth and professional development.
• Collaborative and inclusive work environment.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).