Senior Machine Learning Engineer, Digital Twin Platform

Posted 28d ago

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Design, develop, and deploy machine learning models for real-time inventory understanding
Own the full ML lifecycle from problem framing to production deployment
Collaborate with software engineers, computer vision engineers, data scientists, and product leads
Build and evolve core infrastructure of the Digital Twin Platform
Help define technical direction of an expanding modeling practice

5+ years of experience developing and deploying ML models in production
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
Experience with large-scale data pipelines and structured/unstructured data
Experience with cloud infrastructure (AWS, GCP, or Azure)
Familiarity with ML platform tooling for model training, versioning, and serving
Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or related field

Experience with computer vision, inventory forecasting, demand sensing, or spatial/temporal modeling
Familiarity with real-time inference systems and low-latency, high-throughput serving
Prior experience driving projects from conception to production with limited oversight
Exposure to retail, supply chain, or e-commerce domains
Experience collaborating with computer vision teams or incorporating vision-based signals

Skills