Artificial Intelligence (AI) Jobs in Bangalore (Bengaluru)

Looking for RPA Solution Architect who has experience in RPA product              preferably UiPath Analyse client processes and identifies automation opportunities using RPA tool like UiPath Recommend RPA approach and strategy thatdeliver organizational benefit Explore third party tools/libraries for automation solution Assist Project Manager and guide team to ensure smooth delivery of the RPA solution. Provide continuous advice and best practices to RPA developers and Project Manager related to delivery approach and strategy Keep up to date with new features of RPA tool Good understanding of Natural Language Processing and Artificial Intelligence Exposure to Deep Learning, frameworks like Pytorch/ TensorFlow and building ChatBot Good knowledge of NLP techniques for text classification, ,sequence labelling, NER, entity linking, relation extraction. Design software systems with various Microsoft technologies and ensure compliance to all architecture requirements. Maintain the standards documents Have periodic reviews with the Architects team Participate in architectural meetings and analyse the technical requirements Candidate should possess good Presentation skills.

Role Description: The Chatbot Developer will develop software and system architecture while ensuring alignment with enterprise technology standards (e.g., solution patterns, application frameworks).Responsibilities:- Develop REST/JSON API’s Design code for high scale/availability/resiliency.- Develop responsive web apps and integrate APIs using NodeJS.- Presenting Chat efficiency reports to higher Management- Develop system flow diagrams to automate a business function and identify impacted systems; metrics to depict the cost benefit analysis of the solutions developed.- Work closely with business operations to convert requirements into system solutions and collaborate with development teams to ensure delivery of highly scalable and available systems.- Using tools to classify/categorize the chat based on intents and coming up with F1 score for Chat Analysis- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Developing Conversational Flows in the chatbot- Calculating Chat efficiency reports.Good to Have:- Monitors performance and quality control plans to identify performance. - Works on problems of moderate and varied complexity where analysis of data may require adaptation of standardized practices. - Works with management to prioritize business and information needs.- Experience in analyzing real agents Chat conversation with agent to train the Chatbot.- Identifies, analyzes, and interprets trends or patterns in complex data sets.- Ability to manage multiple assignments.- Understanding of ChatBot Architecture.- Experience of Chatbot training

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore   We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

Learngram is a Singapore based AI driven EdTech startup with a vision to empower institutions offer their educational content to learners through a tech platform that helps learners master the content.   At Learngram, we are building an AI powered E-Learning platform.Our tech team is based out of Bengaluru. We are building a high quality team of result focused & innovative problem solvers.   Founders:Vikas Goel - CEORaman Kishore - CTO    We are looking for an early team member to join our startup. Someone who is passionate to be at the helm of building a company, who can build products ground up and is enthusiastic to be a very early member of a startup.   Great opportunity to solve real life problems using AI and transform the way education is being delivered by helping students/learners in their learning journey.   An ideal candidate is skilled in ML/Deep Learning NLP Image processing Speech processing AI deployment is passionate about solving real life problems has continuous learning attitude high ownership startup mindset optimistic Website: https://www.learngram.ai/

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Skills: Experience in predictive modelling and predictive software development Skilled in Java, C++, Perl/Python (or similar scripting language) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic optimisation (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Must Have: Experience: 3-9 years The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage Preferred experience with large data sets & distributed computing in Hadoop ecosystem Fluency with databases

About Us Design is at the heart of everything we do. We are ambitious to build a great global brand and we also take a lot of pride in having built a world-class product and continue to do so in a cutting edge field like Natural Language Understanding. Across both, design has played a crucial role so far and it will continue to be one of the most important hires for interface. Hence you will be working directly with the CEO. Today, interface provides an out-of-the-box AI Assistant that acts as a “Personal Bank Teller” to help customers 24x7 through every step of the journey from a prospect to a customer. It is used by several financial institutions (FIs) across 5 countries spanning millions of conversations. Our customers have already witnessed over $50M+ ROI in just under 12 months. Our vision is to put an AI-powered Personal Banking Assistant in everyone's pocket that not only helps with day-to-day banking needs but also helps with financial education to help each individual achieve financial wellness. As a Lead Product Designer you will be in charge of : Platform - Our platform is a suite of tools that makes the underlying core technology usable for FIs and there are certain parts that will also be used by the customers of the FIs. So you have an opportunity to design for both B2B and B2C. Branding - All design aspects of creating, evolving and maintaining the brand Conversation Design Principles - You will create and own the Conversation Design Principles, which will be used by the rest of the teams to design how our AI Assistant will converse. You can be a great fit if you are : Extremely self-motivated Ability to learn quickly Growth mindset (read this if you don't know what it means - link) Emotional Maturity (read this if you don't know what it means - link) Passionate about the possibilities at the intersection of AI + Banking Worked in a startup of 5 to 30 employees Think like an engineer, empathize like an end-user 4+ years of experience in SaaS Product Design Experience in owning Product and Branding as a Full Stack Designer Experience in owning Conversation Design Principles previously is a plus otherwise you are a native English speaker who has an eye for UX with words and worry the UI/UX as we know today will not exist soon :) At interface, just like many other companies, we have made mistakes as we grow. But we have learnt from it and have gotten better. And we thank all of our employees who provided genuine feedback on the forums like Glassdoor. For others, it has become a punching bag of sorts specifically former employees who have had short tenures with us. If this bothers you, we understand. But people who typically work in startups understand this happens.  We recommend you reach out to any of our employees who have stayed with us over an extended period if you would like to get an unbiased view if necessary.

Job Description The ideal candidate will have experience in the latest techniques in Artificial Intelligence, Natural Language Processing, Machine Learning (including Deep Learning approaches). Experiences in real- time collaboration is a plus. We're looking for someone with specialized knowledge and general skills. Someone who can architect new features one day and produce optimized code the next. The ideal candidate has a strong mix of education and practical experience Responsibilities - Deliver a commercially deployable platform that provides an intuitive collaboration solution targeted at enterprise customers - Use NLP and ML techniques to bring order to unstructured data - Experience in extracting signal from noise in large unstructured datasets a plus - Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems - Work alongside an excellent, cross-functional team across Engineering, Product and Design Required Skills - Experience in applying machine learning techniques, Natural Language Processing or Computer Vision - Strong analytical and problem-solving skills - Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ - Problem solver - able to work independently, and be comfortable with deadlines and milestones - Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques - Strong communication skills and an easy going attitude - Proven ability to apply, debug, and develop machine learning models for real-world applications - Previous industry work experience required Preferred Skills - Familiarity with Git, MongoDB, RabbitMQ, Spark, NLTK, TensorFlow - Functional Programming - Experience with Natural Language Processing (NLP) - Experience building applications for the enterprise customer - Previous early-stage company experience is a plus

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar DevOps and production deployment engineer that is well versed with Python, Docker & Amazon Web Services (AWS) to get our AI components into production and deployed. AI/ML experience is a plus, but not necessary. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running.  You will be responsible for: Building Python scripts to deploy our AI components into pipeline and production Developing logic to ensure multiple different AI components work together seamlessly Managing our daily pipeline on both on-premise servers and AWS Working closely with the AI engineering, backend and frontend teams You should have the following qualities: Deep expertise in Python including: Multiprocessing / multithreaded applications Class-based inheritance and modules DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend) Deep expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Automated building and deployment CI/CD Experience with maintaining cloud applications in AWS environments Experience in deploying machine learning algorithms into production (e.g. tensorflow, keras, opencv, etc) is a plus Experience with running Nvidia GPU / CUDA-based tasks is a plus Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Required: Python, AWS, Docker, Multiprocessing / multithreaded programming, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Seniority: We are looking for a mid-level engineerWork Experience:  2 years to 7 years Salary: Will be commensurate with experience.  Who Should Apply: If you have the right experience, regardless of your seniority, please apply. About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are a billion fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.

About Role● Solving application security problems using ML by building a proof of concept and productionising ML pipelines● Conceptualising, designing and implementing ML platform/pipelines for solving ML problems at scale and in a quick iterative manner at massive data scale● Strong collaboration with Data scientist and other stakeholdersQualifications● Master’s degree in computer science from top universities (tier 1 only). Specialisation in ML is preferred. PhD from top Universities in the US and IISc in India is a strong plus.● Minimum 5 years of work experience in developing ML pipelines and products using Java and Python● Strong understanding of ML concepts and use of common ML algorithms applied to discrete sequences and high dimensional categorical data● Strong software development skills including familiarity with data structures & algorithms, software design practices.● Strong understanding of various ML frameworks● Experience of working on anomaly detection and security products will be a strong plus● Experience of working in SaaS enterprise companies will be a strong plus● Demonstration of knowledge in applied machine learning via participation in Kaggle-like challenges is an added bonusAs a founding engineer, you can expect top compensation, good startup equity to create mid/long term wealth, opportunity to create a top notch product/platform bottom-up, opportunity to work with some exceptional people with a strong workplace culture.

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams.  For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube.  You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers. You will: Gather training data as specified by the management and engineering team Label and annotate all the training data Ensure all data is prepped and ready to feed into the AI models Revise the training data as specified by the engineering team Test the output of the AI models and update training data needs You should have the following qualities: Willingness to work hard and hit deadlines Work well with people Be able to work remotely (if not in Bangalore) Interested in learning about AI and computer vision Willingness to learn rapidly on the job Ideally a gamer or someone interested in watching gaming content online Skills: Data labeling, annotation, AI, computer vision, gaming Work Experience:  0 years to 1 years About Sizzle Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.

We are looking for talented, experienced Java backend Software Engineers who are passionate about their work and who want to work on leading edge cloud based technologies to develop ground-breaking artificial intelligence driven enterprise grade applications. About Clari Clari uses AI and automation to drive growth and retention for high-performing revenue teams. Clari’s Revenue Operations platform is currently processing over $300 billion in pipeline, and is used by over 50,000 marketing, sales and customer success professionals across 170 countries. Customers include market leaders like Symantec, Adobe, Alteryx, Workday, Lenovo, Zoom, Medallia, Alteryx and hundreds of others.  Clari harvests and analyzes activity signals from dozens of different business systems, including email, calendar, CRM, marketing automation, to shorten sales cycles, increase win rates, and make revenue more predictable.    The result is passionate and frankly humbling customer loyalty. We consistently hear from our customers how we’ve changed their lives - just check out the reviews on G2 Crowd. It never gets old, and we never take it for granted.   Clari is looking for several key experienced engineering who will focus on implementing many different areas of our solution, including but not limited to our overall web architecture, core application features such as data science driven analytics, user management, content management, social graph integration, personalization, emails, collaboration systems and enterprise content repositories as well as on unstructured data analytics, machine learning and our relevance engine.   Join our core applications team where you’ll work with truly remarkable colleagues on highly diverse, complex, and relevant problems while building scalable applications designed to service millions of mobile and web-based information workers. You’ll work closely with product managers, designers, and others in a cross functional environment on multiple projects, from concept phase through testing, launch and ongoing operations.   We work in an open, collaborative environment and seek exceptional developers who enjoy problem solving and straying outside the routine. You will also contribute to the growth of Clari by being a Brand Ambassador and assist in the hiring of great talent. Qualifications 3+ years of professional server development experience using Java or similar object-oriented language Strong understanding of web-based architecture - web servers, load balancing, caching, databases etc. Basic knowledge of SQL (Postgres, MySQL) and NoSQL databases (MongoDB) Experience developing data driven web applications Up-to-date knowledge of latest trends in web application development, including Amazon AWS ecosystem Experience building and using RESTful APIs Nice to Have Experience with multi-threading, replication etc. concepts in cloud applications Familiarity with large scale business intelligence applications Familiarity of JavaScript and other web technologies such as React   Why Clari? Because we have a big mission, a winning product and an amazing fan base of passionate customers.   We’re changing the world and having a lot of fun on the way. Clari is a fun and fast-growing Silicon Valley company. Clari is one of Inc. Magazine’s best places to work in the US and was named as a 2019 Top Bay Area Workplace for the 5th consecutive year. In October 2019, we closed $60M in Series D funding and are growing at 200%. Our product is a winner - we have perennially been given the highest overall rating in G2 Crowd’s Top 20 Sales Analytics Software. We’re backed by top tier investors including Sequoia Capital, Bain Capital, Sapphire Ventures, Madrona Venture Group and Tenaya Capital, and have a superb and supportive board.   Our team is made up of veteran entrepreneurs, brilliant engineers, and tried-and-true sales professionals who have done this before and want to do it again, this time only bigger.   What’s left to add? You.

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.   You will be responsible for: Developing audio algorithms to detect key moments within popular online games, such as: Streamer speaking, shouting, etc. Gunfire, explosions, and other in-game audio events Speech-to-text and sentiment analysis of the streamer’s narration Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them Building neural network architectures for audio analysis as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing Experience using Python, TensorFlow and other AI tools Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others Nice to have: some familiarity with AI-based audio analysis including sentiment analysis Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.   You will be responsible for: Developing computer vision algorithms to detect key moments within popular online games Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games Specifying exact requirements for training data sets, and working with analysts to create the data sets Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation You should have the following qualities: Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis Experience using Python, TensorFlow, OpenCV and other computer vision tools Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc. Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others Familiarity with AWS environments Excited about working in a fast-changing startup environment Willingness to learn rapidly on the job, try different things, and deliver results Ideally a gamer or someone interested in watching gaming content online Skills: Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets. Salary: Will be commensurate with experience.

Main responsibilities: + Management of a growing technical team + Continued technical Architecture design based on product roadmap + Annual performance reviews + Work with DevOps to design and implement the product infrastructure Strategic: + Testing strategy + Security policy + Performance and performance testing policy + Logging policy Experience: + 9-15 years of experience including that of managing teams of developers + Technical & architectural expertise, and have evolved a growing code base, technology stack and architecture over many years + Have delivered distributed cloud applications + Understand the value of high quality code and can effectively manage technical debt + Stakeholder management + Work experience in consumer focused early stage (Series A, B) startups is a big plus Other innate skills: + Great motivator of people and able to lead by example + Understand how to get the most out of people + Delivery of products to tight deadlines but with a focus on high quality code + Up to date knowledge of technical applications

We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - Building server-side logic that powers our APIs, in effect deploying machine learning models in production system that can scale to billions of API calls - Scaling and performance tuning of database to handle billions of API calls and thousands of concurrent requests - Collaborate with data science team to build effective solutions for data collection, pre-processing and integrating machine learning into the workflow - Collaborate, provide technical guidance, and engage in design and code review for other team members. - Excellent Scala, cassandara, architect, api, software, python, Java programming and software design skills, including debugging, performance analysis and test design - Proficiency with at least one Scala, GoLang, Python micro frameworks like Flask, Tornado, Play, Spring etc. with experience in building REST APIs - Experience or understanding in building web crawlers, data fetching bots etc. - Experience with design and optimisation of Neo4j, cassandra, NoSQL databases, PostGreSQL, Redis, Elastic Search - Familiarity with one of the cloud service providers, AWS or Google Compute Engine - Computer Science degree with 4+ years of backend programming experience Experience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.What We are Looking for?- We are looking experienced, seasoned technology professional or entrepreneur who have hands on building deep-tech/SaaS products. - Someone who think to build next billion dollar tech enterprise company based out of India which can solve finance/insurance/healthcare problem at massive scale. Someone who live for code and breathe for code. Skills/Experience :- More than 5+ years technology product building experience - Have either worked in startups or in large enterprises for scalable products- Knowledge in SCALA/Java/Python/Cassandara/Deeplearning/AI/ML/architecture- Data science/Algorithms/Statistics/Mathematics expert - Someone looking to build next billion dollar enterprise - Hands on-coding experience - Willing to work with small team- Willing to work in startup environment - Ability to lead technology team, execute projects well- Building innovative product ideas, algorithms and development - Someone who can built exceptional tech team, convert business problems in to technology solutions - Someone who think to start own companyCompensation & Equity :- Being startup, compensation is not high. Equity 3-4%. CTO Can also invest in company to buy more equity if want based on current valuation with some discount on it.