We are seeking a talented Large Language Model and Generative AI Engineer & Software Developer to lead our efforts in developing state-of-the-genarative AI solutions. The ideal candidate will have a deep understanding of open-source AI models, generative AI tools, and will work closely with our team to develop, integrate, optimize, and deploy these solutions on AWS.
Key Responsibilities:
- Conduct research to gather information on open-source AI tools like fine-tuning models, AI canvas, text to sing, etc and assess their feasibility for our needs.
- Develop algorithms (and interface) for AI tools synthesis using existing open-source codes and AI APIs.
- Integrate, adapt, and optimize AI models for our specific use cases.
- Set up Continuous Integration and Continuous Deployment (CICD) pipelines for the AI models.
- Create Docker images for the developed solutions ensuring portability and scalability.
- Deploy the solution on Amazon Web Services (AWS) and ensure smooth interfacing with other applications.
- Collaborate with other team members to ensure smooth integration with front-end and back-end systems.
- Stay updated with the latest advancements in AI and generative models, ensuring our solutions remain at the cutting edge.
- Document all development processes, algorithm choices, and modifications for future reference and reproducibility.
Required Qualifications and Skills:
- Bachelor’s degree in Computer Science, AI, Machine Learning, or related field. Advanced degrees preferred.
- Solid experience with generative AI models and larger language models.
- Solid experience with machine learning and deep learning
- Proficiency in Python and experience with deep learning frameworks like TensorFlow or PyTorch.
- Solid experience with CICD tools such as Jenkins, Travis CI, or CircleCI.
- Solid experience with Docker and containerization best practices.
- Solid experience with git and Github.
- Hands-on experience with AWS services, particularly EC2, ECS, and Lambda.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication skills, both written and verbal.
Preferred Qualifications:
- Prior experience in deploying AI models for real-world applications.
- Familiarity with other cloud platforms such as Google Cloud Platform or Microsoft Azure.
- Experience with Kubernetes and other orchestration tools.
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