Job 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.

About Contify
About
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Work Type- Permanent
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Its work from office job
Key Aspects of Role
Leverage deep knowledge of the full technology stack to help achieve business objectives and
customer outcomes
Collaborate with Product Management to validate the technical feasibility of and establish non-
functional requirements
Collaborate with Architecture to evolve architecture to solve technical challenges, support
future requirements, scale effectively, continually meet/exceed SLAs and resolve tech debt
Technical advisor to internal or external stakeholders on complex technical components
Technical leader working with the team to help remove blockers and act as a tie breaker
Adjust the team processes, listening to feedback and guiding the team through change and
driving continuous improvement
Guide, teach, and mentor team, providing feedback and moderating discussions
Represent the interests of the team in cross functional meetings
Maintain and proactively share knowledge of current technology and industry trends
Work closely with peers to ensure the team is aligning with cloud native, lean/Agile/DevOps &
12 Factor Application best practices ensuring rapid value delivery and with quality
Collaborate with other Principal Engineer’s to drive engineering best practices around testing,
CI/CD, GitOps, TDD, architectural alignment, and relentless automation
Excellent understanding and familiarity with Cloud Native and 12 Factor Principles,
Microservices, Lean Principles, DevOps, Test Driven Development (TDD), Extreme Programming
(XP), Observability / Monitoring
Required Skills
Coding experience in Java
Extensive hands-on experience working with AWS cloud products and services
Experience with popular open-source software such as Postgres, RabbitMQ, Elasticsearch, Redis
and Couchbase
Experience working with NodeJS, React/Redux, Docker Swarm, Kubernetes
Experience with development frameworks such as the Spring/Spring Boot framework, Hibernate
and knowledge of advanced SQL
Proficiency with modern object-oriented languages/frameworks, Terraform, Kubernetes, AWS,
Data Streaming
Knowledge of containers and container orchestration platforms, preferably Kubernetes
Experience delivering services using distributed architectures: Microservices, SOA, RESTful APIs
and data integration architectures
Knowledge of containers and container orchestration platforms, preferably Kubernetes
Advanced Architecture and system design skills and principles
Excellent organizational skills and can drive a cross-team strategic project or initiative
Solid coaching, mentorship and technical leadership to help others grow
Able to drive consensus/commitment within and across teams and departments
Advanced critical thinking and problem solving on complex issues and customer concerns.
Strategic thinker beyond immediate needs, considering the longer-term
Excellent communication skills, with ability to communicate highly complex technical concepts
Demonstrate high level of empathy with internal colleagues, stakeholders and customers
and design with the experience and credentials to back up that passion.
Someone who can take ownership of applications, solve technical
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The ideal candidate will have experience building native applications,
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You’ll be a key member of the team tasked with contributing to a
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Essential Skills:
● Have one or more iOS/Android apps developed with Flutter.
Either deployed on the AppStore/Google Play or available on
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● Good understanding of flutter state management approaches.
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documentation for existing code and refactoring previously
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● Typescript/JS experience.
Good to Have
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• Initiate/ participate in user research initiatives and insights to drive design decisions
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user experience.
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wireframes, detailed designs with little direction
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Ideally a person should have had the below experiences / possess the below abilities to succeed
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