Machine Learning Engineer - Large Language Model (LLM Developer) at Corona Management Systems

Corona Management Systems (CMS) is a Social Enterprise operating with the belief that people with a passion to solve global problems through local action, can with the right tools change the world. This belief drives us to specialize in providing technical and management support to programs, and in implementing innovative projects in Health, Education and Social Development.

We are recruiting to fill the position below:

Job Title: Machine Learning Engineer - Large Language Model (LLM Developer)

Location: Abuja
Employment Type: Full-time

Job Description

• Are you a skilled Large Language Model (LLM) expert with a strong background in programming/ coding and a passion for precision in writing? Do you possess exceptional attention to detail and thrive in a flexible work environment? If so, we have an exciting opportunity for you.
• As an LLM Developer, you will play a crucial role in designing, training, and refining advanced language models for a variety of applications. Your expertise will contribute to the development of cutting-edge AI systems.

Responsibilities

• LLM Model Fine-Tuning: Utilize your expertise in encoding and language understanding to fine-tune existing Large Language Models for optimal performance in solving domain specific needs.
• Model Training and Evaluation: Conduct rigorous testing and evaluation of LLMs to identify areas for improvement and implement solutions to enhance their performance.
• Quality Assurance: Maintain a meticulous approach to detail and accuracy, ensuring that LLM outputs meet the highest quality standards and adhere to coding guidelines.
• Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and language experts, to achieve project goals and deliver outstanding results.
• Continuously research and stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
• Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
• Troubleshoot and resolve any issues arising during model training and deployment.

Requirements

• Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and working with large language models (GPT-3, BERT, T5 etc.).
• Strong foundation in machine learning concepts and techniques, including deep learning architectures, natural language processing, and text generation.
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, and related libraries for model development and deployment.
• Demonstrated ability to design, train, fine-tune, and optimize large language models for specific tasks.
• Expertise in pre-processing and cleaning large datasets for training models.
• Familiarity with data augmentation techniques to enhance model performance.
• Knowledge of evaluating model performance using appropriate metrics and benchmarks.
• Ability to iterate and improve models based on evaluation results.
• Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
• Strong teamwork and communication skills to collaborate with cross-functional teams, including data scientists, engineers, and domain experts.
• Ability to identify challenges in language model development and implement creative solutions to address them.
• Enthusiasm for staying up-to-date with the latest advancements in AI, NLP, and large language models.
• A portfolio showcasing previous language model projects, contributions to open-source projects, or relevant publications is a plus.
• Willingness to explore new techniques, experiment with novel approaches, and contribute to innovation in the field.

Application Closing Date
6th September, 2023.

How to Apply
Interested and qualified candidates should send their CV to: info@coronams.com using the Job Title as the subject of the mail.