Machine Learning Engineer
Machine Learning Engineer
Posted on :
22-05-2025
Employer Active
1 Vacancy
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Job Description
Job Summary for Machine Learning Engineer (Fremont CA):
Design develop and deploy machine learning models for factory and warehouse operations.
Transform ambiguous problem statements into robust endtoend ML solutions.
Utilize a range of ML techniques including supervised learning and convolutional neural networks.
Work extensively with Python and modern deep learning frameworks (PyTorch Jax or TensorFlow).
Build and maintain data pipelines from data collection to model monitoring and deployment.
Integrate and analyze diverse datasets including images sensor data voice text and tabular data.
Collaborate with crossfunctional teams (production process controls quality) to solve highimpact operational challenges.
Evaluate and compare models using statistical techniques to ensure optimal performance.
Develop and maintain alerting and monitoring systems for production ML models.
Write clean modular and sustainable code for productionready solutions.
Apply foundational statistical knowledge for model assessment.
Deploy and maintain ML models in realworld production environments.
Communicate effectively with technical and nontechnical stakeholders.
Experience in manufacturing industrial automation or warehouse settings preferred.
Strong problemsolving skills and ability to work in fastpaced ambiguous environments.
H1 visa candidates welcome.
Design develop and deploy machine learning models for factory and warehouse operations.
Transform ambiguous problem statements into robust endtoend ML solutions.
Utilize a range of ML techniques including supervised learning and convolutional neural networks.
Work extensively with Python and modern deep learning frameworks (PyTorch Jax or TensorFlow).
Build and maintain data pipelines from data collection to model monitoring and deployment.
Integrate and analyze diverse datasets including images sensor data voice text and tabular data.
Collaborate with crossfunctional teams (production process controls quality) to solve highimpact operational challenges.
Evaluate and compare models using statistical techniques to ensure optimal performance.
Develop and maintain alerting and monitoring systems for production ML models.
Write clean modular and sustainable code for productionready solutions.
Apply foundational statistical knowledge for model assessment.
Deploy and maintain ML models in realworld production environments.
Communicate effectively with technical and nontechnical stakeholders.
Experience in manufacturing industrial automation or warehouse settings preferred.
Strong problemsolving skills and ability to work in fastpaced ambiguous environments.
H1 visa candidates welcome.
Employment Type
Full Time
Key Skills
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