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Job Role and Responsibilities:
We are searching for several talented, dynamic, hands on Data Scientists to be part of our team.
You will work closely with a team of software engineers and product managers on the design of prototypes of systems to demonstrate feasibility of proposed machine learning algorithms. Also, will assist with the design and implementation of machine learning pipelines (data ingestion, feature extraction, training, testing and validation, inference, and continual learning). And lastly, follow relevant work being done in academic and other research organizations; be as close as possible to the state-of-the-art in the fields of AI and machine learning.
Experience in data science or machine learning working with large data sets
Strong coding skills; you’re proficient in Python and Spark and have a working knowledge of at least one of Scala, Java, or C++.
Proficient in Python statistical processing libraries such as NumPy, Pandas, SciPy, Scikit-Learn, etc.
Experience working with deep learning frameworks such as TensoFlow, MXNet, Caffe2, or PyTorch
Familiar with large-scale data processing frameworks such as Apache Spark, and cloud computing environments such as Amazon Web Services (AWS).
Firsthand experience working with machine learning models and techniques such as decision tree, gradient boosted tree, random forest, ensemble methods, clustering, principal component analysis