Artificial Intelligence (AI) Jobs in Bangalore (Bengaluru)

Learngram is a Singapore based 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.We are currently setting up the tech team in Bengaluru and have recently closed our first round of funding. Founders:Vikas Goel - CEO - linkedin.com/in/vikas-goel-cfa-77 58 79 10Raman Kishore - CTO - linkedin.com/in/kramankishore We are looking for a very 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. An ideal candidate is - skilled in NLP, ML/Deep Learning, AI deployment, is passionate about solving real life problems, has continuous learning attitude, high ownership, startup mindset and is optimistic.

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 5 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 MoEngage MoEngage is been recognized as Great Place to work 2019 and we are a young, fast-paced workplace that fosters a culture of innovation, ownership, freedom, and fun while building tech products of the future. Our teams are comprised of self-driven, passionate, smart individuals from top-tier institutes who are young achievers.  MoEngage Inc. is a leading Marketing Technology Stack provider that is helping brands redefine their customer engagement in the mobile era. Brands use MoEngage to drive long-term, personalized and context-based engagement across channels to help achieve increased customer retention as well as customer LTV. Sitting at a conflux of diverse technologies like Artificial Intelligence, Big Data, Web & Mobile platforms, MoEngage technology analyses billions of data points generated by customers and their devices, to predict customer behaviour and build marketing campaigns that proactively engage users. In just five years since inception, MoEngage is working with leading brands across e-commerce, entertainment, travel, publishing and banking domains among others. With a global presence spanning 35 countries, MoEngage has offices in San Francisco, Berlin, Jakarta, and Bengaluru. We are a young, fast-paced workplace that fosters a culture of innovation, ownership, freedom, and fun while building tech products of the future. Our teams are comprised of self-driven, passionate, smart individuals from top-tier institutes who are young achievers. Can you thrive and excel in a fast-paced ecosystem where innovation, speed and user centric product thinking are the norms? Do you enjoy discovering opportunities others do not even know exist and are geared to champion them? Are you driven by ownership and a chance to make an impact? If so, this opportunity may be for you! What will you be doing? As a Product Manager for MoEngage Intelligence, you will use data to guide your decisions and develop solutions to pursue some of the most exciting opportunities. You will develop a hypothesis, conduct user research, and experiments to inform your product design and strategies. You will establish your product viewpoints and share them with senior leaders, partners, and customers. You will be reporting to the VP of Product.  Launch products and features that solve customer problems using machine learning and artificial intelligence to help them get insights, maximize RoI & Engagement with MoEngage’s Intelligence Synthesize and drive product strategy from interactions with customers, business stakeholders, legal and policy teams, competitive insights and market trends; build and manage an actionable product roadmap Define future concepts and build product roadmaps; Create business cases outlining projected impact for each initiative to be prioritized on the roadmap. Manage the entire product line’s life cycle from strategic planning to Go-to-market activities. Provide initiative rollout status & monitor impact of each initiative launched Collaborate with Data Science, engineering, sales, product, customer success and support, and design teams to ensure alignment on roadmap and prioritization, and product delivery, sales and adoption Balance trade-offs between time and scope while meeting user needs and business goals. Write detailed product requirements and end to end use cases with effective user stories to be used by engineering & design teams. Refine product backlog.  Mentoring team members for success in the PM role, reviewing their work, and evaluating employee performance Skills & Requirements 3+ years in software product management with a consistent record of timely and quality delivery of software products 2+ years experience in end to end roll out of AI/ML based products with exposure to data analysis, data models, machine learning features, and APIs Experience with Project Management tools like JIRA, able to create low-fi and high-fi mockups using Balsamiq, Sketch or any tool  High bias for action with demonstrable history of identifying and resolving cross-project interdependencies  Ability to juggle several initiatives and shift priorities as needed Exceptional communication skills (verbal and written communication) with a knack for storytelling Data Driven with proficiency on data querying and analysis. Experience with tools like SQL,Excel, Tableau, Qlikview etc. is preferred Experience in one or more of the following is a plus:  SaaS, Marketing Automation, Customer Communication etc. Perks Work at Scale and challenge yourself Work with a smart team which grew up in the Mobile First world Free Lunch and Snacks plus caffine all day TT table, Poker nights and team outings

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.

About Us: Led by former Salesforce and Siebel executive, Chuck Ganapathi, Tact.ai is on a mission to make enterprise software more human-friendly. Tact.ai’s Conversational AI Platform is used by Fortune 500 sales organizations to drive revenue growth by eliminating friction in their daily sales workflow. Headquartered in Sunnyvale, CA., Tact.ai Technologies, Inc. is a privately-held company backed by Accel Partners, Redpoint Ventures, Upfront Ventures, M12 (formerly Microsoft Ventures), Comcast Ventures, Salesforce Ventures and the Amazon Alexa Fund. The India Development Centre of Tact.ai was set up in July 2018, with a focus on bringing together world class talent to take Tact.ai to the next level, in terms of product, go-to-market and operational excellence, while building up on the company’s culture of global inclusion that we aspire to and strive for.   About The Opportunity:  At Tact.ai, we build products that transform how users work by eliminating friction in their day-to-day lives. Instrumental in this goal of making software more human-friendly are Tact’s AI team. Are you interested in applying Artificial Intelligence to make the lives of enterprise users friction free? Do you relish building & leading a team of Rockstar engineers who accept challenge of balancing user experience, technical challenges, optimization, enterprise grade security, omni-channel and cross-platform extensibility? Does your experience include scaling a team of top notch engineers writing highly reusable code and thinking about how to reimagine a better software system? Join the AI team at Tact.ai, the only company backed by Amazon, Microsoft and Salesforce.com.   Responsibilities: Manage team building Tact’s Artificial Intelligence (AI) Platform to design & deliver a world class enterprise AI platform Work with small cross functional teams to deliver product features which enrich the AI platform Provide architectural leadership as Tact scales, both as a product as well as across customers Research and help build state-of-the-art language models, Natural Language Understanding (NLU) & Natural Language Generation (NLG) systems Participate in design, code reviews and establish engineering standards across the team. Monitor project risks, timelines, provide visibility, and help to resolve involving teams and necessary stakeholders Own vision, strategy planning, prioritization, driving architectural decisions, and end-to-end project delivery. Manage careers of talented engineers, including making great hiring decisions, setting goals, providing feedback and managing performance   Requirements:   Masters or Ph.D. in computer science or related fields with specialization in Machine Learning/Deep Learning Proficiency in Java and Python 10+ years of Experience building high performing teams of AI Engineers & Data Scientist, establishing technical direction and retaining talent Background in working on machine learning models for understanding language semantics & agents architecture Familiarity with conversational flow development experience using voice and text-based NLP channels like Amazon Alexa, Slack, Cortana, etc. Take ownership of features and projects and be self-driven to deliver them on time   Perks: Competitive salary Stock options Flexible work hours Sponsored lunch

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.

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 : - We at artivatic are seeking for passionate, talented and research focused computer engineer with strong machine learning and computer vision background to help build industry-leading technology with a focus in document text extraction and parsing using OCR across different languages.Qualifications :- Bachelors or Master degree in Computer Science, Computer vision or related field with specialization in Image Processing or machine learning.- Research experience in Deep Learning models for Image processing or OCR related field is preferred.- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus.Required Skills :- Excellent skills developing in Python in Linux environment. Programming skills with multi-threaded GPU Cuda computing and API Solutions.- Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images.- Good knowledge of Computer Science, math and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.- Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.- Familiarity with OpenCV, Dlib, Yolo, Capslule Network or similar and Open Source AR platforms and products- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed in software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in- Document and Text Extraction.- Image recognition, Object Identification and Visual Recognition - Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.- Be responsible for measuring and optimizing the quality of your algorithmsExperience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore

Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years

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 a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The 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, healthcare, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more.   Job description We at artivatic are seeking for 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 in modeling and developing NLP tools and have experience working with machine learning/deep learning algorithms. Roles and 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. Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.Be responsible for measuring and optimizing the quality of your algorithms Requirements 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 the willingness to learn new technologies. Well versed in software design paradigms and good development practices. Basic 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. If you feel that you are the ideal candidate & can bring a lot of values to our culture & company's vision, then please do apply. If your profile matches as per our requirements, you will hear from one of our team members. We are looking for someone who can be part of our Team not Employee. Job Perks Insurance, Travel compensation & others