(BNF-202) - Machine Learning Engineer - FogHorn Systems

(BNF-202) - Machine Learning Engineer - FogHorn Systems

11 Jul
|
foghorn systems
|
India

11 Jul

foghorn systems

India

Role and Responsibilities Engineering core machine learning capabilities in our IoT platform by building tools and high-performance infrastructure for running ML models at the edge.



Creating supervised and semi-supervised ML models for the platform. Core Qualifications Candidates must meet ALL of the following qualifications.



Experience in Agile software development with strong programming experience in C or Python. Experience in building and using high-speed data processing infrastructure and tools.



Have used or developed high performance C packages (e.g. LAPACK, BLAS, YOLO etc.) Some experience with real-time stream processing data systems.



Training in data mining or statistics,

enough to understand the context of developing software to be used by data scientists.



Algorithm experience in the families of predictive algorithms (regression, neural nets, decision trees) and clustering algorithms (k-means or other).



Bonus Qualifications Any of the following extra qualifications will make a candidate more competitive. Strong experience with C development and high-performance computing.



Cython programming or written python wrapper for C . Experience developing Machine Learning software infrastructure, algorithms and libraries.



Training or experience in Deep Learning, such as Keras, TensorFlow, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network.



Experience with PMML or PFA or TFR is of interest (see www.DMG.org).

The original job offer can be found in Kit Job:
https://www.kitjob.in/job/35535852/bnf-202-machine-learning-engineer-foghorn-systems-india/?utm_source=html

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