Developing chatbots and voice assistant on various platforms for diverse business use-cases Work on a chatbot framework/architecture using an open-source tool or library Implement Natural Language Processing (NLP) for chatbots Integration of chatbots with Management Dashboards and CRMs Resolve complex technical design issues by analysing the logs, debugging code and identifying technical issues/challenges/bugs in the process Deploy applications using CI/CD tools Designing and building highly scalable AI and ML solutions Ability to understand business requirements and translate them into technical requirements Open minded, flexible and willing to adapt to changing situations Ability to work independently as well as on a team and learn from colleagues High adaptability in a dynamic start-up environment. Experience with bot multi-lingual utilization (preferred) Experience with bot human escalation Ability to optimize applications for maximum speed and scalability Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build highly personalized user experience. QUALIFICATIONS - B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities SKILLS REQUIRED – Minimum 1+ years’ experience in Chatbot Development using Rasa open-source framework. Hands on experience building and deploying chatbots. Experience in Conversational AI platform for enterprises using ML and Deep Learning. Experience with both text to speech and vice versa transformation incorporation. Should have a good understanding of various Chatbot frameworks/platforms/libraries. Build and evolve/train NLP platform from natural language text data being gathered from users on a daily basis. Code using primarily Python. Experience with bots for platforms like Facebook Messenger, Slack, twitter, WhatsApp etc. Knowledge on digital assistants such as Amazon Alexa, Google assistant etc. Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques- NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG etc. Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities and context. Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP. Knowledge of Linux shell commands. Integration with Chat/Social software like Facebook Messenger, Twitter, SMS. Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho etc. MUST HAVE: Strong foundation in python programming language. Experience with various chatbot frameworks especially Rasa and Dialogflow. Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. Experience with RESTful services. Good understanding of HTTPS and Enterprise security.
About the internship Selected intern's day-to-day responsibilities include:1. Developing chatbots and voice assistants on various platforms for diverse business use-cases2. Working on a chatbot framework/architecture using an open-source tool or library3. Implementing natural language processing (NLP) for chatbots4. Integrating chatbots with management dashboards and CRMs5. Resolving complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process6. Deploying applications using CI/CD tools7. Designing and building highly scalable AI and ML solutions8. Understanding business requirements and translating them into technical requirements9. Overseeing integration with chat/social software like Facebook Messenger, Twitter, and SMS and integration with enterprise systems like Microsoft Dynamics CRM, Salesforce, and Zendesk10. Coming up with new approaches and ideas to improve the current performance of chatbots across multiple domains and building a highly personalized user experience Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 1st March 21 and 15th March 21 3. are available for duration of 4 months 4. are from Gurgaon and neighboring cities 5. have relevant skills and interests
Director of Engineering will lead a team of 30+ engineers Responsible for a large piece of tech engineering and product roadmapDeployment, Scaling,Config Management, API Schemas, Logging, Alerting & Monitoring, Testing etc More than 6+ years in Software product companies requiredManaged a team
Responsibilities: Identify complex business problems and work towards building analytical solutions in-order to create large business impact. Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business. Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques. Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency. Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments. Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation. Review stakeholder objectives and team's recommendations to ensure alignment and understanding. Drive analytics thought leadership and effectively contributes towards transformational initiatives. Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
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
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