Hooman Digital | Machine Learning and Backend Developer | india
1 week ago
Description: Machine Learning and Backend Developer
Role Overview:
We are looking for a passionate and innovative Machine Learning and Backend Developer to join our team. This role blends backend development with machine learning, focusing on integrating cutting-edge tools and libraries. You'll have the opportunity to work with modern machine learning frameworks, deploy APIs, and collaborate on developing robust backend systems.
Key Responsibilities:
- Develop and maintain backend services using Python with frameworks like Flask or FastAPI (preferred but not mandatory).
- Build and integrate REST APIs to support machine learning models and applications.
- Leverage Large Language Model (LLM) APIs to create and enhance intelligent systems.
- Work with Docker to containerize applications for consistent and scalable deployment.
- Utilize libraries such as Ollama and vLLM for implementing and managing ML workflows.
- Collaborate on integrating machine learning models into production environments efficiently.
- Optimize backend code for performance and scalability.
- Work with cross-functional teams to design and deploy data-driven solutions.
Skills and Qualifications:
- Strong knowledge of Python programming and backend development.
- Experience with Docker for application containerization.
- Proficiency in working with APIs, including REST APIs.
- Familiarity with Large Language Model APIs and related libraries like Ollama and vLLM.
- Knowledge of Flask or FastAPI is a plus.
- Understanding of basic machine learning concepts and workflows.
- Problem-solving mindset with the ability to debug and resolve issues effectively.
- Ability to work in a team and adapt to new technologies quickly.
What You Will Gain:
- Hands-on experience with state-of-the-art machine learning libraries and frameworks.
- Practical knowledge of backend development and API integration.
- Exposure to containerization and deployment strategies using Docker.
- Experience in developing and deploying machine learning models in production environments.
- Mentorship from industry experts and opportunities to grow your technical skillset.
- Insights into creating scalable, intelligent backend systems powered by LLMs.
Duration:
3-6 months
Location:
Remote
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