Missions
- Develop, process, cleanse and enhance data collection procedures from multiple data sources.
- Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
- Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
- Work closely with product teams to implement algorithms with Python and/or R.
- Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
- Facilitate integration with enterprise applications using APIs to enrich implementations.
Profile
- Experience in developing and deploying machine learning, deep learning, NLP solutions.
- Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
- Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
- Should have prior experience in developing APIs, services using either C# or Java.
- Should have good awareness on entire machine learning/ predictive modeling & implementation.
- Experience with common data science toolkits, such as Scikit, NumPy, R libraries - Excellence in at least one of these is mandatory.
- Proficiency with any one NoSQL databases such as MongoDB, Cassandra, HBase.
- Should have prior experience in developing APIs, services using either C# or Java.
- Should have good awareness on entire machine learning/ predictive modeling & implementation.
Looking someone who can join us in 15 to 30 days
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