As a 'Junior AI/ML Engineer' at QNext AI, you will have the opportunity to work on cutting-edge projects in the field of Generative AI, leveraging Python and cloud platforms like Azure and AWS. We are seeking a highly motivated individual who is passionate about developing innovative backend and API solutions that ensure secure and reliable operations in a cloud-based environment.
Key responsibilities:
1. Collaborate with the development team to build and maintain the Python backend and API layer for generative AI applications.
2. Apply security standards and best practices to ensure the reliability and integrity of systems deployed on Azure and AWS platforms.
3. Explore large language models (LLM) at scale, evaluating their applicability to real-world challenges and implementing solutions accordingly.
4. Engage in iterative development within an agile environment, ensuring high-quality Python code delivery and adherence to best coding practices.
5. Stay updated on the latest advancements in Generative AI, Python backend development, and cloud technologies to continuously improve the project.
6. Work closely with cross-functional teams to assess system performance and optimize solutions for efficiency and scalability.
7. Participate in team meetings and brainstorming sessions to contribute ideas and insights for project development.
If you are a self-driven individual with a strong background in Python backend development, and API management, and a desire to explore cutting-edge Generative AI technologies, we encourage you to apply for this exciting opportunity at QNext AI.
1. Candidate must be available to work from 9:00 am - 5:00 pm Indian Standard Time (as the company is based outside of India & their local work timings are 9:00 am - 5:00 pm India Standard Time)
Annual CTC: ₹ 6,00,000 - 8,00,000 /year
We are an early-stage Generative AI startup at QNext.AI. We create tools that boost individual productivity and empower users to create engaging content. We seek new clients for product trials and usage, particularly in the news, media, publishing, and finance sectors.
