Data AnalyticsSizzle 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 3 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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Work with databases using MS SQL Server, Entity Framework, and Dapper
Build and consume RESTful APIs using ASP.NET MVC / Web API
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Experience in AWS Glue
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Experience in Apache Parquet
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Proficient in AWS S3 and data lake
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Knowledge of Snowflake
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Understanding of file-based ingestion best practices.
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Scripting language - Python & pyspark
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Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible
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Proficient at developing queries, writing reports and presenting findings
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Mentor junior members and bring best industry practices.
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5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales)
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Strong background in math, statistics, computer science, data science or related discipline
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Advanced knowledge one of language: Java, Scala, Python, C#
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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake
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Proficient with
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Data mining/programming tools (e.g. SAS, SQL, R, Python)
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Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
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Data visualization (e.g. Tableau, Looker, MicroStrategy)
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Comfortable learning about and deploying new technologies and tools.
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Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines.
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Good written and oral communication skills and ability to present results to non-technical audiences
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Knowledge of business intelligence and analytical tools, technologies and techniques.
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ELK Stack
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon