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Protocol Intelligence
Data-driven signals on your job's competitivenessSpecialized senior ML role in metro with broad ML+MLOps skills, moderate candidate density.
Domain-specific pricing, manufacturing and CAD geometry expertise required, reducing cross-industry transferability.
Requires strong production ML, MLOps, and framework experience, making technical filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Build, maintain, and improve machine learning models to support real-time pricing and quoting in a complex digital manufacturing marketplace.
Design, develop, and scale machine learning training, inference pipelines, and production ML infrastructure on AWS, including monitoring and retraining workflows.
Collaborate cross-functionally with engineering, data, product, and domain teams to translate marketplace dynamics into practical machine learning solutions and mentor junior engineers.
Minimum Requirements
Proven experience deploying machine learning models in production environments.
Strong coding skills in Python or similar; experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
Hands-on experience with ML pipelines, versioning, experiment tracking, and MLOps tools (e.g., Weights & Biases, Prefect).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in marketplace or pricing models including demand modeling, price elasticity, or cost estimation, preferably in manufacturing or supply chain contexts.
Skilled in handling complex, real-world, structured and geometric data such as CAD or point clouds for feature engineering.
Demonstrates ability to lead ML infrastructure scaling, maintain production model reliability, and communicate complex ML concepts to non-technical stakeholders effectively.