Streamoid Technologies Pvt Ltd
http://www.streamoid.comAbout
Jobs at Streamoid Technologies Pvt Ltd
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Keep the manual test cases updated;
Come up with testing procedures to validate functional, system, and performance requirements for new features;
Ensuring the quality of releases for the features by running the test cases and reporting them;
Work with the Customer Support team to reproduce customer problems and provide solutions;
Set up test environments as required, services and databases;
Write and maintain automated test suites for functional and performance testing;
Participate in the product feature specification with Product Managers, UX engineers and developers to understand the test the same;
Design & build automation smoke, feature & regression tests;
Prepare Automation Test Plans for Service Level Tests, Integration Tests and UI tests as needed;
Write feature use cases in BDD to drive the creation of automated test cases;
Participate in Release/Iteration planning, smoke, feature and regression test planning.
Requirements:
Hands on experience in java, selenium, CI tools like Cucumber / BDD, Jenkins, Maven, GITHub etc.,
Strong skills in automation test framework development using Selenium;
Highly motivated self-starter with a desire to help others and take action;
Experience with one or more programming languages: C#, Java, Node.JS/JavaScript, Go, Python;
At least 2 year of experience in QA automation;
Excellent written and communication skills;
Exposure to API Testing and performance testing using JMeter will be a plus.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
- 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
- Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
- Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
- Comfortable working with deep-learning libraries (eg. PyTorch)
- Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
- A Masters candidate in machine learning.
- Can source candidates from Mu Sigma and Manthan.
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