AI Engineer
Core
Develop, train, and fine-tune machine learning models for natural language processing and predictive analytics using large datasets.
Role type
Machine Learning Engineer (NLP/LLMs)
Builds
AI applications and model-integrated API services
Domain
Market research and analytics
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, deep learning, NLP, LLMs, data preprocessing, feature engineering, model evaluation, model training and fine-tuning
Preferred skills
Hugging Face Transformers, spaCy, AWS SageMaker, Google Vertex AI, Azure AI, MLOps, CI/CD, AI ethics, bias detection, model interpretability
Technologies
TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Hugging Face, spaCy, AWS SageMaker, Google Vertex AI, Azure AI
Responsibilities
Develop, train, and fine-tune ML models; work with large datasets for cleaning and feature engineering; implement and optimize deep learning models; support R&D of AI applications in NLP and LLMs; collaborate on deploying models to production; conduct experiments to enhance model accuracy and performance
Seniority
Mid-level, hands-on IC