AI/ML Engineer
Core
Enhance the publishing cycle and operational efficiency by developing, deploying, and maintaining AI/ML solutions for data accuracy and process streamlining.
Role type
Mid-level AI/ML Engineer (NLP, GenAI, Model Ops)
Builds
End-to-end AI/ML solutions, data pipelines, and model deployment systems for publishing workflows.
Domain
Publishing industry + AI/ML (NLP, GenAI, Computer Vision)
Deliverable
production ML models
Required skills
Python, R, TensorFlow, PyTorch, scikit-learn, NLP, Generative AI, LLM, RAG applications, model optimization, cloud platforms (AWS/Azure/GCP), software development practices, data preprocessing, feature engineering
Preferred skills
Deep learning frameworks, model retraining, data visualization, storytelling
Technologies
Python, R, TensorFlow, PyTorch, scikit-learn, AWS, Azure, Google Cloud
Responsibilities
Develop end-to-end AI/ML solutions from data collection to deployment; Collaborate with data scientists on feature creation; Implement and maintain AI infrastructure; Evaluate and compare AI/ML models; Optimize model performance for production; Research and experiment with new AI technologies; Monitor and maintain deployed models including retraining.
Seniority
Mid-level, hands-on IC