The NowFloats platform enables businesses to get a location-tagged, active, online presence within minutes and using SMS or APPs. NowFloats was founded in 2012 and already has 2,00,000+ customers that range from your neighbourhood store to Fortune 500, and is one of the fastest growing local content discovery platforms’ globally.
NowFloats was founded by an experienced and diverse team, which has previously worked in Microsoft, GE and Saatchi & Saatchi. NowFloats has filed for 6 patents and remains a deeply tech/geeky organization. NowFloats is funded by Mumbai Angels, Blume Ventures and Omidyar Network. NowFloats has strategic partnerships with Google, Verisign and Microsoft.
NowFloats has been recognized for its innovation, winning the Microsoft BizSpark Challenge 2012 and subsequently being incubated at MS Ventures. NowFloats has been featured in Economic Times, CNBC, Entrepreneur, TheNextWeb, TechAsia, and YourStory.in among other recognitions which include NASSCOM EMERGE 50, TechCrunch and Best App by Google.
This is one of those exceptional roles where, unlike most data science roles that shape the marketing/ optimization efforts, data science here helps build a consumer-facing product from the ground up. ------Key Skills Expected--------- • Strong understanding & experience in building efficient search & recommendation algorithms; experience in Machine/ Deep Learning would be beneficial • Driving semantics through NLP of unstructured and semi-structured data • Should be able to independently build large-scale crawlers, clean & analyze that information and use as an input-feed to ranking/ recommendation algorithms • Should have excellent back-end coding skills • Strong knowledge of hosting webservices like AWS • Experience in Python-Django would be a plus We are looking for self-starters who are looking to solve genuinely hard problems.
Opportunity to build a product ground up. Solving for one of the first use cases where we can do a successful business deployment of NLP techniques and Machine Learning. More when we speak! Indicative salary post funding. Currently bootstrapped to build a demo POC. Significant Equity on offer. Keen to connect with folks with an entrepreneurial bend and not pseudo entrepreneurs looking for the cushion of a fat salary from the get go.
We are Perilwise, a startup looking to shake up the insurance sector. Looking for decision scientists who want to work in the fintech and NLP/ ML space. Role is sketched out below: 1. Build/work on improving an existing chatbot and add enhancements to it 2. Build predictive models as the business scales and help in improving operational efficiency 3. Work with the dev team and stakeholders in building and implementing turnkey solutions w.r.t data analytics
What we do Building India's largest, hyperlocal, mobile-first application and back-end platforms that will serve over 100 million monthly active, Indian local language users, scaling to over 1 billion PageViews a day. Currently powers 5 billion PageViews a month, serving a user-base of 90 million installs, spread across 800 cities in India, who consume services in 15 Indian local languages. What You'll Do: Work in cohesion with the R&D team towards building new products and enriching existing ones on ML/NLP Desired Skills: Prog Languages : Java , Python, R Tools and Frameworks : NLTK, Mahout , GATE , Stanford NLP suite , Weka , Scikit-learn Deep Learning : Understanding of deep learning models applied to NLP. Neural Networks, Word embeddings, sequence learning, RNN NLP : Statistical NLP Models , Pos Tagging , Parsing , Sequence Tagging, Word Sense Disambiguation , Language Models , Topic Modelling , NER ML : Linear regression , Logistic Regression , Naive Bayes , SVM , Decision Trees , Random Forest , Boosting , Bagging , HMM , CRF LSI/LDA , Clustering , UnSupervised / SemiSupervised Methods DS/Algo/Prob : Efficient Data Structures , Object oriented design, Algorithms , Probability & Statistics , Optimization Methods
Myntra is a fashion m-commerce company based out of Bangalore, India. Our aim is to provide hassle-free, personalised shopping experience to Indian shoppers and help them look good. Apart from retail, we also strive to bring our consumers the best and the most up-to-the-minute content from the world of fashion.
Snapwork Technologies is a results-driven design, development and products company, located at Navi Mumbai. We have been the Mobile Partner of choice for leading Financial & Insurance companies. We work with clients to plan a robust mobile strategy that will help them reap high dividends from their mobility efforts. At Snapwork it is really about simplicity. Our solutions combine user-centered research, user interface design, process engineering, and interface/mobile development with client's business objectives to create User Delight! Our teams work in a collaborative environment which promotes best practices and personal growth. We have achieved some particularly impressive awards for our Mobile App from Google and other prestigious excellence awards from IBM, Intel, Sequoia & YourStory SnapWork is looking for a Machine Learning enthusiast who can use their skills to research, build and implement solutions in the field of natural language processing and semantic knowledge extraction from structured data and unstructured text. You should have a deep love for Machine Learning, Natural Language processing and a strong desire to solve challenging problems. Responsibilities • Using NLP and machine learning techniques to create scalable solutions. • Utilize statistical natural language processing to mine unstructured data, and create insights; analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses • Research and implement novel approaches to solve real world problems. • Working closely with the engineering teams to drive real-time model implementations and new feature creations. Requirements • An excellent problem solver with research oriented approach. • Previous experience with designing and developing real world solutions using machine learning techniques • Deep understanding of NLP and statistical models • Algorithms Geek and researcher in field of data science. • Experience with capturing, managing and processing Big Data will be an added advantage. • Familiarity with Elastic MapReduce, Hadoop, AWS, BigTable is a plus
Media.net is one of the world's leading companies in the Contextual Advertising space that provides a wide range of advertising and traffic monetization solutions. Since its founding, Media.net has constantly broken new ground in building innovative contextual advertising solutions.. We serve our contextual real-time ads customized for each visitor and each page view across billions of visitors, across 10's of millions sites/domains on a server infrastructure that runs 1000+ CPUs, terabytes of RAM, and 100's of petabytes of data. With more than 900 employees, Media.net has one of the largest teams worldwide building a global contextual advertising business. By market cap, Media.net is one of the Top 5 largest ad tech companies worldwide. By revenue, Media.net is the #2 largest contextual advertising businesses worldwide. Media.net is acquired by Chinese Consortium for $900 Million USD in 3rd Largest Ad Tech deal ever and this acquisition will fuel Media.net’s global expansion strategy and provide access to China’s world-class talent and capital markets.
Responsibilities Design, develop and improve text analytics techniques to develop automated chat system for Lookup Develop system to understand user queries and generate automated responses Requirements A solid foundation in data structures, algorithms and software design Experience in machine learning, text classification, information extraction and Noun Entity Resolution and a demonstrable interest in natural language processing Extensive hands on experience in handling text data and using NLP concepts for handling the text and support knowledge component of input text 5+ years’ experience in Text Analytics using NLP Must have hands on experience in handling text data and using NLP concepts for handling the text and support knowledge component of input text Hands-on experience coding in Python or other advanced programming languages is required for this role, as is experience working with large datasets using SQL. Experience with Java, R, PHP, Perl is an advantage.
Responsibilities Building a new and advanced user experience on Lookup platform, by proactively showing recommendations and suggestions based on user behaviour and other factors. To achieve this, you'll design and implement machine learning algorithms that help to integrate users' preferences and serve the right content. You are expected to work as part of the Discovery team to solve personalization, discovery and search problems, and to own the designing, building and delivering the modules required. Develop state of the art classification and ranking algorithms, to understand and predict user behaviour Requirements A solid foundation in data structures, algorithms and software design Strong background in Machine Learning using Supervised and Unsupervised learning algorithms High proficiency in at least one of the following broad areas: machine learning, statistical modeling/inference, information retrieval, data mining Prior experience developing recommendation systems (in e-commerce, or others) is preferred Experience with Java, R, PHP, Perl is an advantage 3+ years’ of experience