Oaks Intelligence Limited is a leading data and software company dedicated to developing bespoke web, mobile, and desktop applications. We specialize in collecting and analyzing primary data across Nigeria, empowering businesses with actionable insights to thrive in an ever-evolving market landscape.
Role Overview:
- We are looking for a Machine Learning Engineer with a strong background in Natural Language Processing (NLP) and Large Language Model (LLM) development. The successful candidate will play a critical role in building, optimizing, and deploying advanced AI models to power our products and services.
Key Responsibilities:
- Design and develop advanced NLP and LLM solutions for diverse applications.
- Optimize LLMs for performance, scalability, and cost-efficiency.
- Build and maintain pipelines for training, fine-tuning, and deploying machine learning models.
- Integrate ML and NLP solutions into product ecosystems in collaboration with cross-functional teams.
- Conduct experiments and analyze results to improve model performance using metrics like accuracy, latency, and throughput.
- Keep abreast of the latest advancements in NLP, LLMs, and machine learning technologies.
- Ensure adherence to ethical AI practices, data privacy, and security standards.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
- Proven experience in NLP and LLM development and deployment (e.g., GPT, BERT, T5).
- Strong programming skills in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
- Deep understanding of natural language processing techniques, deep learning, and transfer learning.
- Expertise in model optimization (e.g., quantization, pruning).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (e.g., MLflow, Kubeflow).
- Excellent problem-solving and communication skills.
Preferred Qualifications:
- Experience with multilingual NLP solutions and conversational AI.
- Knowledge of Reinforcement Learning from Human Feedback (RLHF).
- Familiarity with large-scale distributed training and inference pipelines.
- Publications or notable projects showcasing expertise in NLP and LLMs
- Minimum of MSc in Computer Science, Data Science, or related field.
Method of Application
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