Data Scientists: Spark ML Experience + Tensorflow
• Work with the team to create new deep learning and ML algorithms and applications. Drive technical vision and strategy to make DL and ML a must-have capability in delivering consumer services
• Help to define and improve large scale Machine Learning platform that powers our big data products to develop personalization, recommendation, and content discovery services for various Huawei Mobiles Services.
• Define metrics, conduct A/B testing, and oversee statistical measurement of new algorithms and approaches.
• Use Big Data technologies (such as Hadoop, Spark, Storm) to build large scale data mining pipelines for recommendation and search.
• Apply Natural Language Processing to understand text from forum reviews, description and interactions between users
• Working with engineering to build machine learning platform that covers data processing, feature engineering and monitoring
• Design and develop effective models, features, and algorithms involving user activities and interests, blogs and posts, social graphs, etc.
• Knowledge of natural language processing techniques and neural networks
• Experience in implement and validate big data algorithms and models
• Able to lead a team in developing and executing your technical vision, including planning, technical decision-making, and project management
• Versed in the process of building effective learning systems (data collection, training, evaluation, making iterative improvements)
• Experience with (un)supervised learning algorithms
• Experience with Caffe/TensorFlow/Torch or similar deep learning frameworks
• Programming experience with R/Scala/C++/Python
Established in 1987, Sellcraft Softech Pvt. Ltd. is today one of the fastest growing Information Technology Services & Solutions firms in India and the US. Sellcraft implements business and technology strategies and provides IT solutions for Global corporations to stay ahead in todays dynamic environment. With our clients, we create lasting relationships by providing services that consistently deliver value. This value is created by using a multi-faceted approach - apply business domain expertise in specific industry segments, utilize a highly-skilled technology workforce, leverage a proven global delivery model (onsite/offsite/offshore), implement CMM-level quality processes & methodologies and be extremely cost-effective.
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