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Job Location: India
Department
Data
Job posted on
Jan 20, 2022
Employment type
Full Time
Experience range
0 – N.A.
About us:
CloudCover is a Cloud Consulting, Cloud Solutions and Cloud Managed Services provider. We’re an Amazon Web Services (AWS) Premier Consulting Partner, Google Cloud Partner, Microsoft Azure Silver Partner, among others. CloudCover’s parent company, ActivElement Software has been architecting, developing, migrating, optimizing and deploying mission-critical Line-of-Business applications since the past 12+ years. We specialize in Cloud Consulting, DevOps, SysOps & SLA-driven Cloud Managed Services on various Cloud Platforms. We are obsessed with automation, to the point where doing something manually twice is once too many times. Our world-class DevOps practice delivers extreme automation to start-ups and agile enterprises through
Required Skills for Data Scientist
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Programming skills, predominantly across the Python/Anaconda suite (scikit-learn, pandas, numpy), SQL
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Background in statistics and experience with experimentation
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Experience working with Machine Learning pipeline – data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
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Experience with one or more open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, etc.
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Solid foundation in computer vision; key areas of interest include 3D computer vision, object detection, tracking and recognition; multiple view geometry
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Fluency with one or more Deep Learning frameworks like TensorFlow, PyTorch, CNTK, Caffe, Keras, DeepLearning4J etc.
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Experience in Deep Learning and previous experience in startups and/or product-based companies is preferred
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Experience with continuous learning & transfer learning.
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Familiarity with large data sets, cloud-based development and deployment, open source practices and frameworks and experience in putting intelligent applications in production.
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Experience on AWS Sagemaker or AI Platform and familiarity with running ML models for Edge computations
Job Role
Collaborate with team members to develop machine learning models from scratch
Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks
Use independent judgment to take existing data and build new models from it
Collaborate and provide technical guidance
Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products
Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
Improving existing models and creating self-learning systems.
Stakeholder management and leadership
Required skill for – Junior Data Scientist
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Programming skills, predominantly across the Python/Anaconda suite (scikit-learn, pandas, numpy), SQL
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Experience working with Machine Learning pipeline – data ingestion, feature engineering, modelling, predicting, explaining, deploying and diagnosing ML models.
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Experience with one or more Deep Learning frameworks like TensorFlow, CNTK, Keras etc.
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Experience in building analytical models and working with structured and unstructured data
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Proficient in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning (SVM, GLM, boosting, random forest)
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