Machine Learning (ML)
Data ScienceJob Description
Lead Machine Learning (ML)/
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,
customers, industries, and topics of interest by continuously monitoring
over 500,000+ sources on a real-time basis. Contify is rapidly growing
with 185+ people across two offices in India. Contify is the winner of
Frost and Sullivan’s Product Innovation Award for Market and
Competitive Intelligence Platforms.
The role
We are looking for a hardworking, aspirational, and innovative
engineering person for the Lead ML/ NLP Engineer position. You’ll build
Contify’s ML and NLP capabilities and help us extract value from
unstructured data. Using advanced NLP, ML, and text analytics, you will
develop applications that will extract business insights by analyzing a
large amount of unstructured text information, identifying patterns, and
by connecting the events.
Responsibilities:
You will be responsible for all the processes from data collection, and
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
➔ Defining and supervising the data collection process, verifying data
quality, and employing data augmentation techniques
➔ Defining the preprocessing or feature engineering to be done on a
given dataset
➔ Analyze the errors of the model and design strategies to overcome
them
➔ Research and implement the right algorithms and tools for ML/
NLP tasks
➔ Collaborate with engineering and product development teams
➔ Represent Contify in external ML industry events and publish
thought leadership articles
Desired Skills and Experience
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
➔ Hand on experience in feature extraction techniques for text
classification and topic mining
➔ Knowledge of text analytics with a strong understanding of NLP
algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs)
and their underlying computational and probabilistic statistics
◆ Word Embedding like Tfidf, Word2Vec, GLove, FastText, etc.
◆ 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,
model selection & ensemble methods, performance metrics &
visualization
➔ Evaluation Metrics- Root Mean Squared Error, Confusion Matrix, F
Score, AUC – ROC, etc
➔ Understanding of knowledge graph will be a plus
Qualifications
➔ Education: Bachelors or Masters in Computer Science,
Mathematics, Computational Linguistics or similar field
➔ At least 4 years' experience building Machine Learning & NLP
solutions over open-source platforms such as SciKit-Learn,
Tensorflow, SparkML, etc
➔ At least 2 years' experience in designing and developing
enterprise-scale NLP solutions in one or more of: Named Entity
Recognition, Document Classification, Feature Extraction, Triplet
Extraction, Clustering, Summarization, Topic Modelling, Dialog
Systems, Sentiment Analysis
➔ Self-starter who can see the big picture, and prioritize your work to
make the largest impact on the business’ and customer’s vision
and requirements
➔ Being a committer or a contributor to an open-source project is a
plus
Note
Contify is a people-oriented company. Emotional intelligence, therefore,
is a must. You should enjoy working in a team environment, supporting
your teammates in pursuit of our common goals, and working with your
colleagues to drive customer value. You strive to not only improve
yourself, but also those around you.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Contify
About
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It's a Trusted Exclusive Singles Club. We are an Applied AI start-up using technology to make online dating/matchmaking more efficient and healthier, given dating app fatigue/burnout is at an all-time high. Our founders are experienced alumni of Google, Zomato, Wharton, and IIT and believe high-performing companies can be created with a culture of respect & empathy. Come work with us in this exciting, fun space to combine a job with doing social good!
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In the initial phase, the candidate will play a matchmaker to identify and connect individuals seeking romantic relationships. Responsibilities include conducting interviews, matching client profiles, arranging meetings and providing feedback.
As we automate the process, responsibilities will evolve to codifying tribal knowledge gained and human judgment that our AI algorithm can use, suggesting product & service improvement based on user interactions, and protecting the brand keeping the Club clean/free from bad actors.
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To know why we are doing what we are doing - click here
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Bachelor's or Master’s degree in business, marketing, or a related field
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Step 1: If the job description interests you, please try to solve the assignment mentioned in the
below document
https://drive.google.com/file/d/1N30vd9XXZ0p7MVKTxuPyhczErJtj5b_0/view
Step 2: Submit your assignment on the email ID mentioned in the assignment document
Step 3: We’ll review the assignment. If found suitable, we’ll schedule a video interview via
Google Meet
Step 4: We’ll take a 30 to a 60-minute video interview
Step 5: After the interview, if we think you’ll be able to do the work as per this job description,
we’ll confirm it with you
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https://www.alivecor.com/">AliveCor, the pioneer of the smartphone EKG, with millions of EKGs from a large and growing user base, seeks a Senior iOS Software Engineer to contribute to the mobile application team. You will be an integral member of our engineering team, responsible for developing industry-leading mobile applications that transform the healthcare industry and affect the way consumers use, engage, and act on their health data.
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AliveCor is on a mission to define modern healthcare through data, design and disruption. We’ve pioneered the creation of FDA-cleared machine-learning techniques, transformed wearable medtech to put proactive heart care at everyone’s fingertips. Kardia is the most clinically validated mobile EKG technology. AliveCor was named as one of the Top 10 Most Innovative Companies in Health for 2017 by Fast Company as part of the publication’s annual ranking of the world’s Most Innovative Companies. AliveCor was awarded the 2015 Tech Pioneer by the World Economic Forum and one of the 50 Smartest Companies in 2015 by the MIT Technology Review. AliveCor recently announced a collaboration with Mayo Clinic that will result in new machine learning capabilities to unlock previously hidden health indicators in EKG data, potentially improving heart health as well as overall health care for a variety of conditions. AliveCor is a privately held company headquartered in Mountain View, CA.
AliveCor is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, colour, disability, gender, national origin, race, religion, sexual orientation, or any other classification protected by federal, state, or local law.
Watch the following video demonstrating our product.
https://www.youtube.com/watch?v=8I9xosgA-Ig">KardiaMobile: How's your heart?
https://www.youtube.com/watch?v=8I9xosgA-Ig">https://www.youtube.com/watch?v=8I9xosgA-Ig
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- Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
Follow CutshortShubham Vishwakarma
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