
Voice Executive
Key Responsibilities:
1. Understanding the brand that is being represented, the TLC brand, the Program, the benefits, the scripts, the possible talking and opening lines and ensuring that the company guidelines on these are followed when a customer connect is made to enroll them into a membership program.
2. A soft approach to the sales process with conversational scripts and engagement on the call to sign up a customer. To protect the brand and ensure that a positive impact is left on the prospect after the interaction, whether he / she buys a membership or not.
3. Program Benefits must be conveyed in complete transparency leaving no scope of ambiguity or sounding / making false promises or over commitment.
4. Ensure that the prospect is not called for more than 3 times and also, he / she is not spammed on the calls. A prospect who does not want to be spoken to should be blocked from the system.
5. Ensure a database is provided by the company and only approved databases after proper DNC scrubbing are used.
6. It is mandatory to ensure that on every point of connect generating relevant leads are required, this is a part of our database expansion exercise, and must be followed.
7. Ensuing all relevant information is captured and converted into company intelligence like reasons for close etc and the prospects once spoken to are accordingly blocked from the system so that they are not called again.
8. Ensure any escalation or potential escalation is immediately reported to the Manager.
9. Ensure company time spent in the office is spent on productive customer acquisition work and aim for high enrolments, conversions, and no complaints as a performance matrix.
10. Ensuring confidentiality of all company information is maintained at all times.
Required Skills Set:
1. Minimum two years’ experience in a high-quality outbound voice process.
2. Good verbal and social communication skills in English with supporting local language. English will always be the first language for opening a customer conversation.
3. Proactive, confident, and self-motivated.
4. Performance oriented with a passion for sales and numbers.

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Job Description
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NLP Engineer
5 + years of experience
About Contify
Contify is an AI-enabled Market and Competitive Intelligence (MCI)
software to help professionals make informed decisions. Its B2B SaaS
platform helps leading organizations such as Ericsson, EY, Wipro,
Deloitte, L&T, BCG, MetLife, etc. track information on their competitors,
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over 500,000+ sources on a real-time basis. Contify is rapidly growing
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Competitive Intelligence Platforms.
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engineering person for the Lead ML/ NLP Engineer position. You’ll build
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unstructured data. Using advanced NLP, ML, and text analytics, you will
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by connecting the events.
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pre-processing, to training models and deploying them to production.
➔ Understand the business objectives; design and deploy scalable
ML models/ NLP applications to meet those objectives
➔ Use of NLP techniques for text representation, semantic analysis,
information extraction, to meet the business objectives in an
efficient manner along with metrics to measure progress
➔ Extend existing ML libraries and frameworks and use effective text
representations to transform natural language into useful features
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them
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NLP tasks
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➔ Represent Contify in external ML industry events and publish
thought leadership articles
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To succeed in this role, you should possess outstanding skills in
statistical analysis, machine learning methods, and text representation
techniques.
➔ Deep understanding of text representation techniques (such as n-
grams, bag of words, sentiment analysis, etc), statistics and
classification algorithms
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classification and topic mining
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◆ Language models like Bert, GPT, RoBERTa, XLNet
◆ Neural networks like RNN, GRU, LSTM, Bi-LSTM
◆ Classification algorithms like LinearSVC, SVM, LR
◆ XGB, MultinomialNB, etc.
◆ Other Algos- PCA, Clustering methods, etc
➔ Excellent knowledge and demonstrable experience in using NLP
packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford
CoreNLP, TensorFlow/ PyTorch.
➔ Experience in setting up supervised & unsupervised learning
models including data cleaning, data analytics, feature creation,
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visualization
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Systems, Sentiment Analysis
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➔ Being a committer or a contributor to an open-source project is a
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- Detailed analysis of the JD - to understand the client's requirement thoroughly.
- Sourcing and screening of valid profiles.
- Ensuring SLAs are met for providing the validated profiles.
- Basic Excel Skills like Vlookup, Pivot, and PPT skills
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- Ability to handle sensitive and confidential information appropriately.
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