Quatrro Business Support Solutions (Mumbai & Gurgoan): Senior NLP Engineer | JC/1379 | Update on Skills
Dear Team,
Please ask below questions to your candidates and share along with their profile.
1. Which AI/ML tools you are familiar with
2. Have you worked on Deep Learning Based OCR Models
· Yes
· No
3. Do you have experience with any NLP techniques?
· SpaCy
· OpenNLP
· FLAIR
· Standard NER
· GATE
· Other:
4. Have you worked on any classification algorithms? If yes, then name them
· Logistic Regression
· Naïve Bayes
· Stochastic Gradient Descent
· K-Nearest Neighbours
· Decision Tree
· Random Forest
· Support Vector Machine
· Other:
5. Which OCR Libraries you are familiar with
· Tesseract
· Abby FineReader
· Google Cloud Vision
· Amazon Textract
· Nuance
· Other:
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Interview Process:
- Try to process the candidate who can join immediately or less than 30 days.
- On Boarding/Joining will be done virtually
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Total Experience |
Relevant Experience |
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Current Designation |
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Domain Knowledge on the scale of 10 |
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Company Website: http://www.quatrro.com |
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Quatrro is a global services company offering business and knowledge processing services to organizations seeking higher operational effectiveness, greater flexibility and lower operating costs. |
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For over 21 years companies have been relying on us to leverage the benefits of globalization and gain a competitive advantage. |
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Quatrro consists of several complementary business lines, each one intensely focused on serving the needs of its target clients with technology-based, expert knowledge services while leveraging the overall |
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resources of Quatrro – operational excellence, global infrastructure and capital. |
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Over 80 enterprise clients, 15,000+ SMB & SOHO customers, 1,000,000+ retail customers around the globe have chosen Quatrro to help them attain the benefits of global sourcing, operational excellence and cost- |
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effectiveness. |
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Job Code |
JC/1379 |
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Process |
Technologies |
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Gender |
Male / Female |
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No. of Positions |
2 (1 Each location) |
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About Process |
Study and transform data science prototypes |
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Design NLP applications |
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Select appropriate annotated datasets for Supervised Learning methods |
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Use effective text representations to transform natural language into useful features |
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Find and implement the right algorithms and tools for NLP tasks |
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Develop NLP systems according to requirements |
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Perform statistical analysis of results and refine models |
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Extend ML libraries and frameworks to apply in NLP tasks |
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Remain updated in the rapidly changing field of machine learning |
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Train the developed model and run evaluation experiments |
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Title |
Senior NLP Engineer |
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Location |
Gurgoan : Udyog Vihar Industrial Area Phase 1 And Thane : Wagle Estate |
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Requirement |
Excellent (7/10) oral and written communication |
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7-8 years of experience in NLP algorithm tools |
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Experience with NLP technologies & the handling of unstructured text |
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Experience with NLP algorithms, tools, frameworks - eg: Spacy, AllenNLP, BERT, ULMFIT, FLAIR |
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Experience with OCR - ABBYY, Tesseract4, OpenCV, OpenGL, Tensorflow, Scikit, Pandas, Numpy, Pytorch |
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Working experience of CRFs, BERT/Transformers, Text summarization, Attention models |
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Prior experience in implementation of industry solution with traditional ML - classification, regression or clustering problem |
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Expertise in text-analytics - Named Entity Recognition, Text classification, Information Extraction, Document Classification, Semantic Analysis, Sentiment Analysis, Topic Modelling, and Natural Language Understanding (NLU) - and associated sequence learning models ( RNN, LSTM, GRU ) |
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Comfort in working with deep-learning libraries (Tensorflow, Keras, Theano, PyTorch) |
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Education |
BSC Computers/BCA/MCA/Diploma in Software Development |
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Certifications in Machine Learning, Data Science, Artificial Intelligence, Computational Linguistics or related fields |
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Shift timings |
24/5 rotational (Majorly into night shift) |
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Transport Boundaries |
NA |
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Transport Facility |
NA |
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Salary Range |
9 to 11 Lacs pa |
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Weekly Off |
2 Rotational off |
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Age |
Upto 35 years |
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USP |
Brand, Salary, Designation |
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Rounds of Interview |
HR (Check previous experience, Qualification, Age, Communication skills, Compensation, Stability) |
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Technical Round (Attitude + Knowledge) |
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Operations (Check stability, Interest, flexibility & discuss salary) |
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Documents |
Educational + Identity Proof + Residential Proof + Offer Letter + Salary Proof (Bank Statement/Payslip) + Relieving documents |
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Clawback |
90 days |
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