Loading...

{{notif_text}}

Last chance to connect with exciting companies hiring right now - Register now!|L I V E{{days_remaining}} days {{hours_remaining}} hours left!

CUDA Jobs in Bangalore (Bengaluru)

Explore top CUDA Job opportunities in Bangalore (Bengaluru) for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Python Coding and Deployment Engineer

Founded 2018
Products and services{{j_company_types[1 - 1]}}
{{j_company_sizes[2 - 1]}} employees
{{j_company_stages[2 - 1]}}
via Sizzle
{{rendered_skills_map[skill] || skill}}
Location icon
Bengaluru (Bangalore)
Experience icon
3 - 10 years
Salary icon
Best in industry{{renderSalaryString({min: 600000, max: 1500000, duration: "undefined", currency: "INR", equity: false})}}

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 Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus.  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 through a microservices architecture 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) Understanding Python performance bottlenecks, and how to profile and improve the performance of production code Expertise in Docker-based virtualization including: Creating & maintaining custom Docker images Deployment of Docker images on cloud and on-premise services 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, python classes / OOP techniques, pymongo, sqlalchemy. Optional: AI, Machine Learning, Tensorflow, deploying Nvidia GPU / CUDA programs Seniority: We are looking for a mid-level engineer 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.

Job posted by
apply for job
apply for job
Vijay Koduri picture
Vijay Koduri
Job posted by
Vijay Koduri picture
Vijay Koduri
Apply for job
apply for job
Why apply via CutShort?
Connect with actual hiring teams and get their fast response. No spam.
File upload not supportedAudio recording not supported
This browser does not support file upload. Please follow the instructions to upload your resume.This browser does not support audio recording. Please follow the instructions to record audio.
  1. Click on the 3 dots
  2. Click on "Copy link"
  3. Open Google Chrome (or any other browser) and enter the copied link in the URL bar
Done