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Data Scientist

Pune
  • pyspark
  • Tensorflow
  • Big Data

We are looking for Data Scientist with 2-3 years in python development for Machine Learning models.

Responsibilities
  • Develop & Deploy machine learning algorithms using Python
  • Research and develop efficient and robust machine learning algorithms for particular use cases
  • Ability to use Python and Spark, ML libraries for data cleansing, feature engineering, modelling and deployment
  • Experience in working with multiple data types and databases- Numerical, Time-series, Structured, non-Structured and Semi-Structured
  • Produce meaningful presentations and analyses that tell a “story” that effectively communicate results and concepts to key decision makers both within E-zest and for client companies
  • Work and collaborate closely cross-functionally with domain experts to identify gaps and structural problems
  • Experience with working on public cloud systems like AWS / Azure
Requirements
  • Education: Bachelor’s/ Master’s Degree having experience in Data Science/ AI development
  • Must Skills: Hands-on experience in Python development and implementation in big data infrastructure, effective communication with the business side
  • Desired Skills: Pyspark, Tensorflow
  • NLP -Advance - Word embedding, LDA, Knowledge Graph, Word Association, Advance PoS, Grammar extraction, Auto-Classification, Similarities, Summarization, Basic Q and A Bot Frameworks
  • Experience with Recommendations systems and reinforcement learning
  • Have strong experience in working with Big Data (large data sets) using distributed systems. Example, Apache Spark, Apache Drill, MapReduce, etc

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e-Zest is a leading digital innovation partner for enterprises and technology companies that utilizes emerging technologies for creating engaging customers experiences. Being a customer-focused and technology-driven company, it always helps clients in crafting holistic business value for their software development efforts. It offers software development and consulting services for cloud computing, enterprise mobility, big data and analytics, user experience and digital commerce.