CDP Data Engineer
at a leading Data & Analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage. We are the partner of choice for enterprises on their digital transformation journey. Our teams offer solutions and services at the intersection of Advanced Data, Analytics, and AI.
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· Experience in MS Customer Insights Data
· Experience in MS customer insights journey
· Experience in Azure, data verse, and Power platform
· At least one full project experience on CDP if not certified people with 3 years’ experience in CDP-related support etc work.
Responsibilities:
· Design, develop, and implement solutions using Microsoft Customer Data Platform (CDP) to manage and analyze customer data.
· Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
· Integrate CDP with various data sources and ensure seamless data flow and accuracy.
· Develop and maintain data pipelines, ensuring data is collected, processed, and stored efficiently.
· Create and manage customer profiles, segments, and audiences within the CDP.
· Implement data governance and security best practices to protect customer data.
· Monitor and optimize the performance of the CDP infrastructure.
· Provide technical support and troubleshooting for CDP-related issues.
· Stay updated with the latest trends and advancements in CDP technology and best practices.
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Solve problems in speech and NLP domain using advanced Deep learning and Machine Learning techniques. Few examples of the problems are -
* Limited resource Speaker Diarization on mono-channel recordings in noisy environment.
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A typical day at work
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You will work closely with the product team to own a business problem. You will then model the business problem into a Machine Learning problem. Next you will do literature review to identify approaches to solve the problem. Test these approaches, identify the best approach, add your own insights to improve the performance and ship that to production!
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* Solid understanding of Classical Machine Learning and Deep Learning concepts and algorithms.
* Experience with literature review either in academia or industry.
* Proficiency in at least one programming language such as Python, C, C++, Java, etc.
* Proficiency in Machine Learning tools such as TensorFlow, Keras, Caffe, Torch/PyTorch or Theano.
* Advanced degree in Computer Science, Electrical Engineering, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
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* You’ll learn insanely fast here.
* Esops and competitive compensation.
* Opportunity and encouragement for publishing research at top conferences, paid trips to attend workshop and conferences where you have published.
* Independent work, flexible timings and sense of ownership of your work.
* Mentorship from distinguished researchers and professors.
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