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Eligibility Criteria
- Any Bachelor’s or Master’s in Any Branches and 2020, 2021, 2022 & 2023
Requirements:-
- Record of delivering large analytical solutions with business impact
- Experience on R/SAS/Matlab and SQL
- Excellent Microsoft Office skills, including a strong working knowledge of Excel
- Problem solving ability and passion for big data
- Excellent communication and data presentation skills
- Fluent written and spoken English
- Masters or equivalent advanced degree in Computer Science, Computer Engineering, Statistics, Mathematics or related technical discipline. Hands-on experience and project based learning in computer science, engineering or mathematics is preferred.
- Academic experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale.
- Academic or Project Experience with Machine and Deep Learning toolkits such as MXNet, Tensor Flow, Caffe and PyTorch.
- Academic Experience with Big Data platforms like Apache Spark and Hadoop.
- Familiarity with data processing with Python, R & SQL.
- Familiarity with AWS services related to AI/ML highly desirable, particularly Amazon EMR, AWS Lambda, Sage Maker, Machine Learning, IoT, Amazon DynamoDB, Amazon S3, Amazon EC2 Container Service, Green Grass etc.
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