What are the responsibilities and job description for the Senior Backend ML Engineer position at Quantum Search Partners?
Job Summary :
Our client.ai has an opening for a highly skilled and experienced Senior ML / AI Engineer who excels in working with Large Language Models (LLMs). The ideal candidate will understand the balance between building for immediate needs and enabling future scalability. You will be responsible for creating AI pipelines on AWS, including AWS Bedrock, developing knowledge-based systems, training and optimizing models, and performing prompt engineering. Startup experience and a strong academic background in Computer Science are essential.
Responsibilities
- Design, develop, and maintain AI pipelines on AWS for LLaMA and other LLMs.
- Utilize AWS Bedrock for scalable AI solutions.
- Create and manage knowledge-based systems to enhance AI capabilities.
- Train, fine-tune, and optimize LLMs for various applications.
- Analyze and optimize backend architecture to improve performance and scalability
- Perform prompt engineering to improve model performance and user interactions.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Conduct research and stay updated with the latest advancements in AI and machine learning.
- Troubleshoot and resolve issues related to AI models and pipelines.
- Document processes, experiments, and results for future reference.
Qualifications
Preferred Qualifications :
Compensation :
140,000-$200,000 per year
Salary : $140,000 - $200,000
