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Roles & Responsibilities Required Skills and Experience: Experience: 6 to 8 years in one of the middleware programming languages (Java, .Net or NodeJS) with at least 4 years on webservices and database. Experience with NODE JS, ANGULAR JS preferred. Experience in OpenStack is preferred. Advanced knowledge of application, data and infrastructure architecture Understanding and develop architecture and design across all systems Working proficiency in developmental toolsets Proficiency in one or more general purpose programming languages: Full Stack - Java, HTML5, CSS3, JavaScript (jQuery or React or Angular), Spring, Hibernate, Messaging (MQ), Java Multithreading, Security, Performance, Apache, and Tomcat Ability to be flexible, organise and prioritise work, strong time management and multi-tasking skills and an ability to work well under tight deadlines and changing priorities, with attention to detail Job Description : Key responsibilities include researching, developing and implementing innovative machine learning, artificial intelligence Performs the necessary leadership, analysis and design tasks related to the development of a solution architecture. Estimate cost, and prepare business cases for AI solutions, considering infrastructure, licenses, development and support Manage risk identification and risk mitigation strategies associated with the architecture Align architectural strategy with business requirements. Provide technical guidance to teams on the choice of machine learning approaches appropriate for a task Provide architectural guidance on transitioning prototypes to high-performance production models Ensure compliance with relevant IT Services processes, methods and tools, and business processes Skills, Experience and Other Criteria Experience in AI Business & Algorithms& Open stack & related tools Experience with any one of the technologies (JavaScript, Node.js, python or Java) Understanding of API integrations, Single-Sign-on and token-based authentication Practical experience building production quality and large-scale deployment of applications related to natural language processing and machine learning Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems. Excellent communication skills with ability to explain technical concepts to large audiences. Some experience of with working with board level stakeholders. Ensure the conceptual completeness of the technical solution. Add-On Skills (Advantage): Knowledge and experience in Agile development methodology Experience with some of the tools for statistical computing (e.g. R, NumPy, SciPy) Experience with large-scale datasets and hands-on experience with distributed systems
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.
Who are we and Why Yulu for you?Yulu's vision is to reduce traffic congestion by providing a scalable, affordable, efficient and clean solution for the first mile, last mile and short distance commute. We strongly believe that short commute mode can be made more Efficient, Affordable and GREEN, thereby ensuring that future generations will have a healthy environment to live. We want to replace big personal vehicles with a smaller form factor that does not require fossil fuel. Yulu uses IoT technology to create a vast network of shared bikes that can be rented easily by user-friendly app in pay per use business model.We are a mission driven company based out of Bangalore with a solid founding team and big ambitions. At Yulu we believe that every day is a mission and success is exciting when its attained with fun and as a team. If you want to solve the problem of traffic congestion, reduce pollution, positively impact the society and be part of an international dynamic team, join us in our journey to shape better India for our future generations.Responsibility Collaborate with members from a variety of teams to improve decision making and boost performance across the company Evaluate, adapt new and improved data storage and analytics approaches with the vision of creating innovative data driven insights at the quickest pace possible Develop new ways for modeling and predicting commute patterns as well as summarize, visualize and present key findings with all stakeholders. Skills required Problem solving using Supervised & Unsupervised algorithms in scikit-learn and TensorFlow Experience programming in Python and data-wrangling using Excel, SQL, Pandas and Jupyter notebook Experience using Apache Spark, Apache Kafka and relevant Big Data tools Experience working with Timeseries and Geospatial datasets would be wonderful Good understanding of statistics to help make decisions and design/evaluate experiments Experience & Qualification 2+ years of real-world Data Science experience Bachelor's in Computer Science or in a relevant field
