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    Software Engineer - Bengaluru, India - Micro1

    Micro1
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    Description

    Location:
    Bengaluru, Karnataka, India (Onsite)


    Type:
    Full-time


    Role Overview:
    This is a full-time On-Site role as a Software Engineer. We are searching for a dedicated Software Engineer to specialize in creating API endpoints for models and implementing functionalities deployable on Kubernetes. Additionally, the role involves collaborating with open-source models and establishing API endpoints using Python and FAST API.

    Responsibilities:

    • Develop and uphold API endpoints for ML models, ensuring top-notch performance, scalability, and reliability.
    • Collaborate with multifunctional teams to integrate ML functionalities into existing applications and services.
    • Design and execute solutions compatible with Kubernetes infrastructure to enable smooth deployment and management.
    • Utilize Python and FastAPI to develop efficient, well-documented, and easily accessible APIs for various ML models.
    • Work with open-source ML models, adapt them as necessary, and create API endpoints to showcase their functionalities.
    • Implement top practices for versioning, testing, and monitoring of APIs to guarantee optimal performance and user experience.
    • Regularly enhance and streamline the codebase for improved efficiency, scalability, and maintainability.
    • Stay abreast of the latest trends and breakthroughs in ML, software development, and cloud technologies to spearhead innovation within the team.

    Requirements:

    • Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
    • At least 5 years of proven experience as a Software Engineer, focusing on API development and deployment.
    • Proficiency in Python programming language and hands-on experience with the FastAPI framework.
    • Solid comprehension of ML concepts and experience working with ML models in production settings.
    • Hands-on experience with AWS services, particularly in deploying and managing applications on AWS cloud infrastructure.
    • Proficiency in Web Socket, Multi-Threading, and EKS.
    • Familiarity with Kubernetes and containerization technologies for deploying scalable applications.
    • Strong problem-solving abilities and the capacity to thrive in a fast-paced, collaborative setting.
    • Effective communication skills and the ability to explain technical concepts clearly to diverse stakeholders.
    • Experience with version control systems like Git and agile development methodologies is advantageous.


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