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Software Engineer
4 months ago
Software Engineer
Location : Bengaluru, Karnataka, India (Onsite).
Type : Full time.
Role Overview :
This is a full-time On-Site role as a Software Engineer.
We are looking for a Software Engineer who will be responsible for creating API end points for models and also functionalities that can be hosted on Kubernetes. They'll also be working with open source models and creating API ends for them as well using Python and FAST API.
Responsibilities :
- Develop and maintain API endpoints for ML models, ensuring high performance, scalability, and reliability.
- Collaborate with cross-functional teams to integrate ML functionalities into existing applications and services.
- Design and implement solutions compatible with Kubernetes infrastructure for seamless deployment and management.
- Utilize Python and FastAPI to create efficient, well-documented, and easily accessible APIs for various ML models.
- Work with open-source ML models, customize them as needed, and develop API endpoints to expose their functionalities.
- Implement best practices for versioning, testing, and monitoring of APIs to ensure optimal performance and user experience.
- Continuously optimize and refactor codebase for improved efficiency, scalability, and maintainability.
- Stay updated with the latest trends and advancements in ML, software development, and cloud technologies to drive innovation within the team.
Requirements :
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred.
- Proven experience 5 years of experience as a Software Engineer, with a focus on API development and deployment.
- Strong proficiency in Python programming language and experience with FastAPI framework.
- Solid understanding of ML concepts and experience working with ML models in production environments.
- Hands-on experience with AWS services, particularly in deploying and managing applications on AWS cloud infrastructure.
- Strong proficiency in Web Socket, Multi-Threading and EKS.
- Familiarity with Kubernetes and containerization technologies for deploying scalable applications.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Strong communication skills and ability to effectively articulate technical concepts to diverse stakeholders.
- Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
