Data Science
Machine Learning (ML)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
Work Experience: 2 years to 10 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 http://www.sizzle.gg">www.sizzle.gg.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Relevant Experience?
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Java 8?
MongoDB/Kafka / RabbitMQ?
Springboot?
Microservices?
Current Company?
Current CTC?
Expected CTC?
Notice Period (Max 30 days)?
Tentative Date to Join Us?
Reason for Change?
Offer in Hand (Yes/ No) Annual CTC?
Living in Pune Yes / No?
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Join the fastest growing health benefits platform in India. ekincare is a Series A funded startup, Operating in one of the few industries with tailwinds from COVID-19.We are at the intersection of health & insure-tech, targeting South East Asia’s multi-billion dollar corporate health benefits market .
Trusted by Fortune 500 companies, ekincare’s patent-pending preventive, predictive and personalized platform, helps employers administer their health benefits efficiently, reduce health care costs by 20% and increase employees’ engagement.
Recognized for our innovations by NASSCOM (10 most innovative start-ups), Aegis Graham Bell Awards (Most innovative enterprise app) and named as the best "Healthy Workplace Brand" in the IHW Summit.
We are proud of Creating a state of the art digitization AI, that unlocks a whole new world of healthcare data, that forms the core of our recommendation engine (https://www.ekincare.com/blog/using-ai-machine-learning-to-digitize-health-records-d5c34451-1176-4f8b-a8f9-204c046ec30e" target="_blank">click to know how)
For more details about us please visit http://www.ekincare.com/" target="_blank">www.ekincare.com
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ekincare is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity status.
Referral Request : If this is not for you, perhaps you have a friend who would be a perfect fit. Please share them this job link. Thanks!
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon