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Turn every agent into your best brand representative with Voice AI

Machine Learning Engineer

₹20L – ₹35L • 0.05% – 0.2%
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Voice AI Platform for Contact Centers

Observe.AI is on a mission to transform contact centers by turning every agent into your best brand representative.

With its Voice AI Platform, which leverages the latest Speech and Natural Language Processing technologies, the world's top brands quality-check 100% of calls, ensure compliance, and turn agents into top performers through targeted coaching.

Observe.AI is trusted by more than 100 customers and partners, including, Tripadvisor, Microsoft, ERCBPO, Talkdesk, and more. Backed by Scale Venture Partners, Nexus Venture Partners, Y Combinator, and Emergent Ventures, Observe.AI’s headquarters is located in San Francisco with an office in Bangalore. For more information, visit observe.ai.

What you will do:
● Work with large data-sets, rapidly prototype and build data models
● Deploy machine learning solutions into production
● Optimize solutions for performance and scalability
● Simply, own a module end-to-end and show us your data skills
● Ensure reproducibility of previous experiments
● Keep up-to-date with new technologies that may be able to support machine learning applications

What we are looking for:
● Strong fundamentals in mathematics, statistics, natural language, speech processing, and machine learning theory
● An alumnus with advanced degrees in the above-mentioned fields from IITs or other leading research institutes are
preferable
● 3+ years of commercial experience in natural language and/or speech processing
● Demonstrable proficiency in Python, shell scripting and C/Java
● Experience with text analytics, knowledge base construction, machine translation, dialog systems, speech recognition,
text-to-speech, keyword spotting, speaker diarization, and audio scene classification
● Proficiency in natural language and speech processing tools such as: NLTK, Librosa, CoreNLP, Gensim, spaCy,
OpenNLP, UIMA, GATE, HTK, Kaldi and Sphinx
● Proficiency in deep learning libraries such as: TensorFlow, Pytorch, or Theano
● Experience with big data and distributed computing technologies such as: Hadoop, MapReduce, Spark, and Storm

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