Senior Machine Learning Engineer, Digital Twin Platform

This role will focus on building and deploying machine learning solutions that improve real-time inventory visibility across retail environments. You will own the ML lifecycle end to end, partnering with product, engineering, and other cross-functional teams to turn complex data into production-ready systems. The position also calls for shaping the technical direction of a high-impact team working on core business challenges and foundational infrastructure., * Design and deploy machine learning models for real-time inventory tracking across retail locations.

• Own the complete ML lifecycle from problem framing to production deployment.
• Collaborate with cross-functional teams to innovate and implement new product technologies.
• Contribute to core infrastructure for data ingestion and modeling.
• Define the technical direction for a startup-like team tackling core business challenges.

• 5+ years of experience with deployment of machine learning models in production.
• Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Experience managing large-scale data pipelines with both structured and unstructured data.
• Familiarity with cloud platforms such as AWS, GCP, or Azure for model training and serving.
• Bachelor’s degree in a relevant technical field or equivalent practical experience.

• Flexible remote work policy.
• Opportunity for equity grants as a new hire, plus annual refresh grants.
• Access to a collaborative and fast-paced work environment.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.