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Python Developer Intern WebApps

4 months ago


Sany, India Technofactorx AI Full time
We are seeking talented Python Interns tojoin our dynamic team of innovators and helpdrivethe development of our AI products fromconception to deployment. As a Python Internyouwill collaborate closely with ourmultidisciplinary team of AI engineers and domain expertstobuild robust and scalable softwaresolutions that integrate AI technologies intorealworldapplications. The ideal candidateis passionate about leveraging technology to tacklecomplexchallenges and has a strongbackground in both frontend and backenddevelopment.
PositionTitle: PythonInternEmploymentType: FulltimeExp Range :01 years ofexperience
Roles&Responsibilities:
  • Workclosely with team members to understand project requirements andcontribute to
the overalldevelopment process.
  • Stay updated onthe latest trends tools and technologies in Pythondevelopment.
  • Conduct thorough testing of Pythoncode to identify and fix bugs ensuring thereliability
and performance ofsoftware applications. Collaborate with the development teamtodesign implement and maintain Pythonbasedapplications.
  • Write efficientreusable and welldocumented code while adhering tocoding
standards.
  • Createand maintain detailed technical documentation for all Python codeand projects.
  • Actively participate in codereviews seeking and providing constructivefeedback.
  • Proactively identify areas forimprovement in existing codebase andsuggest
enhancements.
RequiredSkills:
  • Proficiencyin Modular Object Oriented PythonCoding.
  • Experience withframeworks likeFlask/Django/FastAPI.
  • Excellentwith Data Structures andAlgorithms.
  • Exposed to backenddevelopment. (API calls server/client)
  • Workedon MicroserviceArchitecture.
  • Experience usingMessaging Brokers Redis/ Kafka/RabbitMQ.
  • Experience withworking on Cloud(AWS/Azure/GCP).
  • Exposed toDeploymentDocker/Kubernetes.

PreferredSkills:
  • Knowledge onNumpy Pandas.
  • Experience with developing AImodels.
  • Exposure on ML OpenCVKeras Tensorflow and ClassicalML.

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