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Senior Python Game Developer Jobs in California (NOW HIRING)

Game Engine Developer

Santa Clara, CA · On-site

$110K - $130K/yr

Role - Game Engine Developer Location - Redmond, WA (on-site) We're looking for a game engine ... Strong proficiency in C++ and at least one additional scripting language (C#, Python). * Deep ...

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Senior Python Game Developer information

What is the difference between Senior Python Game Developer vs Python Game Developer?

AspectSenior Python Game DeveloperPython Game Developer
Required Experience5+ years in game development, leadership skills1-3 years, entry to mid-level
ResponsibilitiesDesigning complex game systems, mentoringImplementing game features, coding
Work EnvironmentLarge game studios, collaborative teamsIndie projects, smaller teams
CertificationsRelevant game development certificationsBasic programming certifications

The main difference between a Senior Python Game Developer and a Python Game Developer lies in experience, responsibilities, and leadership roles. Senior developers typically have more years of experience, handle complex systems, and mentor junior staff, whereas Python Game Developers focus on coding and implementing features. Both roles are vital in game development, but the senior position involves more strategic oversight and expertise.

What are the most commonly searched types of Python Game Developer jobs in California? The most popular types of Python Game Developer jobs in California are:

Senior ML Operations Engineer - Python

Texas State Library and Archives Commision

Oakland, CA • On-site

Full-time

Re-posted 5 days ago


Job description

Job Description:
We are seeking three knowledgeable Senior Python/ML Operations Engineers with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
Prerequisites for the selection of the Consultants encompass:
  • Advanced Python programming for back-end development for Machine Learning Operations.
  • Expertise with OpenAPI specs.
  • Conversant with LLMs, specifically Llama 2 or Mistral.
  • Familiarity with Prompt Engineering.
  • Required to productionize Large Language Model (LLM) based solutions.
  • Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
  • Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
  • Write Helm charts and the web front end.
  • Must be skilled in modularizing machine learning code.
  • Will transform Data Scientists' models into scalable, maintainable systems.
  • Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
  • Should have expertise in deploying and managing containerized applications using Kubernetes.
  • Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
  • Plan the builds with Swagger CodeGen, Editor and Inspector.
  • Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
  • Angular and Node are also utilized in this environment.
  • Document plan and steps for development.