• 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
Knowledge in NLP frameworks like NLTK. ● Strong understanding of linear algebra, optimization, probability, statistics. ● Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation. ● Knowledge of various Machine Learning Algorithms such as Supervised, Unsupervised, Reinforcement learning algorithms. ● Should know the various data pre‑processing techniques and its impact on algorithm's accuracy, precision, and recall. ● Good understanding of Deep Learning i.e Convolutional Neural Nets (CNN), Recursive Neural Nets (RNN) Long Short Term Memory (LSTM) ● Worked on conversation/dialogue system in NLP area ● Knowledge and experience of at least one bot framework or API like Dialogflow, ChatterOn, Botpress, Azure bot or any other bot API ● Practical knowledge of formal syntax, formal semantics, corpus analysis, dialogue management Understanding morphology, lexicology, phonetics, pragmatics, automated speech analysis, and synthesis ● English communication skills required, mainly written but verbal English will be highly valued ● Experience in developing applications for messengers and mobile devices ● Experience with Python Web Framework (Django) ● Experience of any of the machine learning framework Tensorflow/Theano/Pytorch ● Should have good knowledge of distributed deep learning systems ● Experience in deploying production level deep learning system ● Good knowledge of hyperparameter tuning in machine learning architecture ● Any live project related to deep learning architecture is good to have.
Profile Brief/ Responsibilities • Keep up-to-date with latest technology trends. • Work closely with Project/Business/Research teams for identifying the best model for a given problem • Research and build highly efficient and state-of-the art models • Selecting features, building and optimizing models using machine learning techniques. Requirements • 2-5 years of relevant industrial experience in Machine Learning and Deep Learning with: Strong working knowledge in Python, C, C++, Linux. • Excellent understanding of Machine Learning Techniques and Algorithms. • Excellent understanding of Text Analytics concepts and methodologies - Named Entity Recognition, Text Classification, Event Detection, Sentiment Analysis, POS Tagging, Bag of Words. • Hands-on experience with Neural Networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD, etc), Support Vector Machine, Conditional Random Field etc. • Experience with GPU/DSP/ISP/SoC architecture and system software • Python, Tensorflow/Caffe/CUDA/Keras • Ability to see big picture, think innovative and suggest out of box solutions. • Ability to write high performance structured code. • Exposure to recent developments in Deep Learning domain
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).
We're looking for Senior NLP Engineer (2+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this role is for early team member and carries significant ESOPs with it. We need someone who can lead the NLP 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. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. • Capable of adding valuable inputs to existing algorithms by reading NLP research papers.REQUIREMENTS-------------------- • Proficient in Python with sound knowledge in the data science libraries namely Numpy, Pandas, NLTK / spaCy etc. • Prior experience in building a fully functional NLP based Machine Learning Model with good results (NER/Classification/Topic Modeling). • Expert data scientist with professionalism in text classification, feature engineering, using embeddings, pos etc. • Knowledge of writing database queries (SQL/NoSQL). • Some background in information retrieval systems is a big plus.
-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.