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Data Engineer/ML Engineer

California †-†Permanent

Job Description

Work with other data scientists, engineers to build software infrastructure and algorithms for analytics and machine learning at the edge.
Develop seamless interactions between edge machine learning modules and cloud-based learning systems. (Think: Can a ML model automatically convert into an actionable service that runs at the edge ?)
Interact with customerís data scientists, field engineers and recommend optimal solution for their requirements. All the insights you gather with customer interaction will provide feedback into the vision of the product.

Must Have Skills:

Experience in building large scale, distributed, low-latency high machine learning infrastructure/software/tools/ algorithms for real-time analysis of streaming data.
Hands-on experience with software development in Python, Java, C++ or related languages.
Knowledge of machine learning and data science techniques such as supervised learning, unsupervised learning.
Some familiarity with machine learning tools like R, Matlab etc.
Strong analytical and problem solving skills.

Nice to Have Skills:

Familiarity with machine learning model interchange formats such as PMML.
Experience with distributed neural networks is a plus.
Experience with Python frameworks like scikit-learn, scipy, numpy.

Starting: ASAP
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