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CommerceIQ is seeking a Lead Machine Learning Engineer to develop and implement machine learning solutions for their B2B SaaS products. The ideal candidate will have a strong background in machine learning, experience with AI pipelines, and the ability to work collaboratively across teams. The role offers the opportunity to work with leading brands and cutting-edge technologies in a fast-paced environment.
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Job Summary
CommerceIQ is building an AI platform that ships AI agents for content, media, and sales into Fortune 100 workflows.
The role involves architecting end-to-end AI pipelines that support scalability and deployment of cutting-edge algorithms like LLMs.
Candidates will own projects from exploration to production while working with major brands like Coca-Cola and Nestlé.
Matching Summary
Match Score: 75
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CommerceIQ is seeking a Lead Machine Learning Engineer to develop and implement machine learning solutions for their B2B SaaS products. The ideal candidate will have a strong background in machine learning, experience with AI pipelines, and the ability to work collaboratively across teams. The role offers the opportunity to work with leading brands and cutting-edge technologies in a fast-paced environment.
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Skills & Requirements
Must-have
5+ years machine learning engineering experience
End-to-end ML pipeline architecture
MLOps systems and model management
Python, SQL, TensorFlow, PyTorch expertise
Large-scale distributed optimization on GPUs
Nice-to-have
Natural language processing and understanding
Human-in-the-loop system design
Cross-functional stakeholder collaboration
Fast iteration of novel ML features
Experience with AWS or GCP cloud platforms
Key Requirements
Bachelor's or Master's in Computer Science or Maths/Stats
5+ years of experience solving machine learning engineering problems
Strong background in data mining, statistics, and linear algebra