Machine Learning Engineer at Oaks Intelligence

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.