NLP Engineer

3 weeks ago

Bangalore, India SKEP IT SYSTEMS Full time

Job Description NLP Engineer - the problem we are solving with our product

PracticewithEVE is an AI-speech based interview preparation platform for business domain jobs. Its mission is to replace the reliance of human coaches and interviewers with AI. So every student or aspirant can prepare for their dream job without having to rely on another person for coaching or training.

To draw a parallel - In the coding world you have Leetcode, HackerRank or HackerEarth where millions of people solve coding problems daily to prepare for jobs at FAANG and more companies. We are sure you have also used and benefited from their plethora of questions and active community.

But unfortunately in the domain of Business jobs there are no such great platforms. So we are building one

A platform which has business domain questions. But in a way that reflects the real business job interview.

Business job interviews are conducted in a conversational problem-solving manner.

Therefore PracticewithEve is a speech based AI bot that utilizes NLP to understand what the user is saying and respond to them with the right information. Just the way it happens in a real business job interview.

You can try Eve here: (its social login, feel free to try it out)

Read more about it on our website: the is a management consulting and technology company. We support top management in making strategic decisions. Our client base is in the Nordic, Europe and US region. Read more about our consulting work here the role:

Position - Senior NLP Engineer

Role - Full Time

Location - In office @ Bangalore, India

Eligibility Criteria

- 4-5 yrs in Machine Learning with NLP

- Preferred Educational Background

- Masters in Computer Science

What will you work on?

- The product consists of several types of NLP use cases, that range from well-defined and researched problems to more open-ended challenges.

- Complex NLP problems for an educational conversational AI engine.

- Use machine learning, data mining, and statistical techniques on unstructured textual data.

- Develop and maintain the entire machine learning pipeline - data collection/ cleaning, modeling, training, testing, monitoring, and deployment.

- Build, improve and extend NLP capabilities, research, and evaluate new/ different approaches to challenges

What are we looking for?

- Deep understanding of probability, statistics, ML algorithm intuition, and computer science fundamentals.

- Expertise in Named Entity Recognition, Text classification, Information Extraction, Document Classification, Semantic Analysis, Sentiment analysis, Topic Modelling, and Natural Language Understanding (NLU).

- Strong understanding of text preprocessing and normalization techniques, word embedding, tokenization, POS tagging, and parsing.

- Expertise in RNN, LSTM, BERT and other neural network architectures.

- Proficiency in any of the deep learning frameworks: Tensorflow, Pytorch, Keras

- High proficiency with standard database skills (e.g., SQL, MongoDB, Graph DB), data preparation, cleaning, and wrangling/munging.

- Experience with deploying ML models on cloud platforms like AWS/GCP

Bonus points for:

- Experience with conversational AI frameworks (e.g. RASA)

- Experience with ASR systems

- Has an active presence, contributing to the NLP communities

- Research publications in the ML domain

Why choose us?

- Competitive remunerations

- Get opportunities to work on exciting NLP problems

- You will get independence in choosing your tools, methods, and ways to collaborate

- Being a small team, we value new ideas and encourage creative thinking

- You will be working closely with the founders and will have a high influence over the product design and direction

- And, of course, the thrill of being part of an early-stage startup, launching a product, and seeing it in the hands of users

How do I get in?

Step 1 : Intro call with Head of NLP (15mins)

Step 2 : Technical interview with Head of NLP (1.5hr)

Step 3 : Call w. CEO and Cofounders (30min)

Step 4 : Final Decision

(Step 1 - 4 is eliminative)

Apply Here:

(ref:hirist.tech)

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