Experience: Minimum 4 years of experience or Master’s Degree in Data Science industry Experience of leading data analytics team would be preferred. Responsibilities The role requires deep knowledge in text mining, data wrangling, testing and deploying analytics solutions including the following: Natural Language Processing (NLP), Working with different data sources, Text Clustering, Statistical Modelling, Topic Modelling, Information Extraction, Information Retrieval, API’s & Web Scraping, Hypothesis Testing, cognitive science, and analytics. Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). The measure, interpret and derive learning from results of the analysis that will lead to improvements in document processing. Team Management - Data Analysis Skills and Qualifications Python, NLP, NLG Text Mining Implemented Data Pipelines using Tensorflow/Pytorch Hands on experience on managing unstructured and structured data Machine Learning, Deep Learning & Neural Networks(Knowledge) Unsupervised & Supervised Learning GPU Computing Good knowledge of statistics/probability/Linear Algebra/Vector Calculus Frameworks: Keras/Tensorflow/PyTorch
JOB DESCRIPTION – Senior Data ScientistJob Brief:We are looking for a Data Scientist to join Surveysensum team and completely take care of Text Analytics on Qualitative Customer Feedback and Call Center complaints conversations via Email or Chat. Surveysensum is an AI-Enabled Customer Experience brands to decode customers feedback into actionable insightsResponsibilities: Build cutting edge models using NLP, ML and AI Techniques for a variety of problems in a variety of domains. Work with engineering team to deploy models in production & validate the models.Skills: Expert level knowledge in Natural Language Processing, Information Extraction, Scrapping and Text Mining Algorithms, Tech Stacks. Strong familiarity with deep learning methods for text analytics. Expert level knowledge in Machine Learning algorithms (XGBoost, Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning) is a must. Familiarity and experience of working on time series analysis on real world datasets. Familiarity with flask, fastapi, hug. Must be an expert python programmer. Demonstrated expertise via high quality publications and/or competitions/challenges. Ability to easily work with domain experts and passion to make a difference. Minimum B.E/B.Tech in computer science/ Electrical Engineering/ EXTC with a strong base in mathematics and statistics. Strong communication skills and team player. Ability to thrive in a startup environment. Problem solving attitude is a must.Experience Minimum 3-7 Years experience in NLP. Experience in working on language models, other than English Minimum 1-year experience in Text & Sentiment Analysis Experience in making a product using NLP, not just project based executionsAbout the company:We are Neurosensum - A Neuroscience and AI company based in Jakarta (Indonesia), Singapore and London (England). Neurosensum is a technology driven company where we like to disrupt the market with our technological innovations. We are in touch with tomorrow’s technology to help you shape the vision of your company’s future. We bring insights based on our Neuroscience technology to the market. We are a team of experienced market researchers, data scientists and AI experts. Currently we are in pursuit to bring our first product called SurveySensum in the market, which is an end to end solution to all the market research needs which includes survey creation, distribution, collection, analysis and dashboards. Our team has experience working across 250+ clients and we possess a deep understanding of Asian consumers and clients. In addition to this we are constantly improving our product with the recent advancement of Artificial Intelligence specially with text analytics.
Title ML Physicist/ ML Researcher Your responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progressManaging available resources such as hardware, data, and personnel so that deadlines are metAnalysing the ML algorithms that could be used to solve a given problem and ranking them by their success probabilityExploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real worldVerifying data quality, and/or ensuring it via data cleaningSupervising the data acquisition process if more data is neededDefining validation strategiesDefining the pre-processing or feature engineering to be done on a given datasetDefining data augmentation pipelinesTraining models and tuning their hyper parametersAnalysing the errors of the model and designing strategies to overcome themDeploying models to production Required Skills: 1st PriorityProficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Proficiency in Algorithm building and coding from journal papers Expertise in visualizing and manipulating big datasetsFamiliarity with Linux 2nd Priority Ability to select hardware to run an ML model with the required latency. Proficiency with a deep learning framework such as Tensor Flow or Keras Proficiency with Open CV Automation experience with at least one configuration/deployment management system such as Google Deployment Manager, Terra form, Chef, Puppet, Ansible, AWS Cloud Formation, Salt, or other such tools Education: Bachelors from Computer Science, Electrical Engineer, Mathematics or Physics graduate with signal processing coursework or any related technical field, or equivalent practical experience. Compensation: Salary (Fixed) + Bonus You should join us if: The ideal candidate will be passionate about coding various algorithms and stay up-to-date with the latest developments in the field of signal processing & Data Science.
Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output
Tradeindia is looking for Machine Learning Engineers to join its engineering team. The ideal candidate will have industry experience working on a recommendation engine, a range of classification and optimization problems e.g.: Collaborative filtering/recommendation User journey prediction Search ranking Text/ sentiment classification or spam detection Predictive analytics The position will involve taking Algorithm and Programming skills and applying them to some of the most exciting and massive SMEs user data. Qualification: M.tech, B.tech, M.C.A. Location: New Delhi About the company: Launched in the year 1996 to offer the Indian Business community a platform to promote themselves globally tradeindia.com has created a niche as India's largest B2B marketplace, offering comprehensive business solutions to the Domestic and Global Business Community through its wide array of online services, directory services and facilitation of trade promotional events. Our portal is an ideal forum for buyers and sellers across the globe to interact and conduct business smoothly and effectively. With an unmatched expertize in data acquisition and online promotion, Tradeindia subsumes a huge number of company profiles and product catalogs under 2,256 different product categories and sub-categories. It is well promoted on all major search engines and receives an average of 20.5 million hits per month. Tradeindia is maintained and promoted by INFOCOM NETWORK LTD. Today we have reached a database of 47,66,674 registered users (Jan 2019), and the company is growing on a titanic scale with a considerable amount of new users joining/registering everyday, under the innovative vision and guidance of Mr. Bikky Khosla, CEO.
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at
Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)
• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products
Company : Egregore Labs is an early stage Fintech company (currently in stealth mode) founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology. Product Vision : - As the data available to investors explodes, human ability to process and extract relevant value from news, markets, documents, reports, and other stimuli declines rapidly. - We are creating a personalised robo-analyst with ability to solve complex, high dimension problems to provide decision support to investors. Opportunity : If hired, you will be one of our first fifteen team members. - You will help build the team's culture and the standard on the quality of code we build. - We will share our workload as a team and we expect you to work on a broad range of tasks. Here's are some of the things you might have to do on any given day : - Build out the back-end to deploy and scale our product - Build and maintain data acquisition processes to collect, organize and store large amount of structured and unstructured data both from online and offline resources - Infrastructure Development such as building databases, creating and maintaining automated jobs - Work on existing and new product features right from concept, to building & testing and push to production Ideal Background / Experience : - At least 24 months experience in development in a product or services environment with production deployments - Expertise in programming in Python or similar scripting languages - Deep understanding of technologies used in web-deployed SaaS products, including Rest APIs - Interest or Exposure to investing in financial markets Nice to have exposure to any of : - Elasticsearch - Neo4j or Neptune - Named Entity Recognition - Knowledge Graphs Desirables : We are looking for a person who has : - Resourcefulness - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently. - Ownership - We like to be directive and not prescriptive in our management. We'd love for you to take ownership of what you work on, and tell us what to do, rather than the other way round. - Work Ethic - We've grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers. - Execution Focus - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly. What else you need to know : - We are an early stage company. Working here is not for the faint-hearted. - An intense and unstructured work environment, lots of excitement and a group of motivated colleagues is what we bring to the table. - We ask you to bring your undivided attention, strong worth ethic & resourcefulness. - We are Delhi based (Nehru Place), and work 6 days a week. - We operate in a Python environment. What we need from you if you are interested : - Co-ordinates: CV, Phone Number, Email, Profiles on LinkedIn, Github, and others are welcome - Logistics: Current Location (city), Available From Date, Notice Period (if any), Current CTC, Expected Compensation - Cover Letter: A short one paragraph summary of your experience, and a few sentences about why you're applying for this role. - Strong Preference for candidates who can join quickly, and are already in the NCR.
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.
Experience/qualifications requirements : - 0 to 3 years of experience. - MS/Phd/Btech in Computer Science or Applied Mathematics with focus on Artificial Intelligence, Machine Learning, Chat Application . - Have published some research papers in Artificial Intelligence domain or contributed to some research which got implemented commercially. - Proficiency in any one language Python/ .Net/ C++. - Strong data structures and algorithmic skills. - Self-motivated and passionate about Artificial General Intelligence. Note-We are looking for full time candidate