ML Architect
Posted 23 Sep 2026
Advertised as “Principal ML Architect”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 10+ yrs
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Company Description
About NIQ: NIQ is a leading global consumer intelligence company, helping clients understand what is happening, why it is happening, and what they should do next. Our data, technology, AI, and analytics capabilities power decision-making for some of the world’s most important consumer, retail, and technology businesses.
AI is central to NIQ’s next stage of growth. We are building trusted, scalable, and high-impact AI capabilities that transform how insights are created, delivered, and adopted across the business. This role will help shape the platforms, operating model, and leadership system needed to make that ambition real.
Job Description
Position Type: Full-Time
About the Role
We are seeking an ML Architect with over +10 years of professional experience in software design and development. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with proven experience in Cloud Data pipelines (Ideally in the ML context). As an ML Architect you will play a key role in our innovation organization producing high level approaches for our ML systems, aligning with other peers, Tech Leads and Data Scientists on the best practices for this domain.
This position is to work on Machine Learning related projects. We are looking for someone with experience in Cloud Data Pipelines (ideally focused on ML workloads) and / or AI/ML systems.
Key Responsibilities
- Design scalable software systems with a focus on quality, performance, and maintainability.
- Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards.
- Collaborate with Research Leads and Product Owners and Tech Leads to gather requirements, design ML pipelines and coordinate the software delivery and MLOps maturity roadmap.
- Create and maintain documentation for the different initiatives the team is participating in.
- Participate or lead in design conversations among systems and other Architects/Principal Engineers for critical systems that can be on premise or Cloud.
- Work with stakeholders and Data Science team to design monitoring pipelines strategies.
Qualifications
Requirements
- 10+ years of professional experience in software development.
- 5+ years of experience leading teams and/or systems design.
- Strong foundation in software engineering principles and architecture.