AI Engineers For Open Source LLM Implementation

No of Resource:- 02
Location:- Onsite, Abu Dhabi
NP:- Immediate
Email:- hr@staffconnect.ae
WhatsApp:- +971 529421270
Job description:
We seek experienced AI Engineers with a robust background in machine learning and LLMs to join our team. The ideal candidates should possess expertise in the following areas:
Key Responsibilities:
- Implement and manage LLMs for image processing, including handwriting recognition.
- Setup and deploy LLMs on AWS Cloud (UAE Region) and local servers.
- Integrate local APIs with external and internal systems.
- Fine-tune and train LLM models, ensuring high-quality output.
- Troubleshoot and resolve issues during model training and deployment.
- Design and deploy high-speed network technologies for AI/LLM applications.
- Develop platforms for monitoring, analysis, and diagnosis of large-scale AI/LLM networks.
- Research and develop high-performance AI communication frameworks and network protocols.
- Build next-generation AI network infrastructure to support large-scale heterogeneous network hardware.
- Design and develop AI models using OpenAI technologies.
- Integrate AI models into existing systems and applications.
- Create and manage local LLMs, storing data in local databases.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- Deep understanding of AI algorithms, data structures, and software development principles.
- Knowledge of Langchain, OpenAI, and open-source AI frameworks.
- Proven experience in developing and working with large language models.
- Strong foundation in machine learning concepts and techniques, including deep learning architectures and NLP.
- Proficiency in programming languages such as Python, .Net, TensorFlow, PyTorch and NodeJS.
- Expertise in pre-processing and cleaning large datasets for training models.
- Familiarity with data augmentation techniques and model evaluation metrics.
- Experience in deploying language models in production environments.
- Strong teamwork and communication skills to collaborate with cross-functional teams.
- A proactive approach to identifying and solving challenges in language model development.
- A portfolio showcasing previous language model projects is a plus.