Applied AI Engineer
Core
Design, develop, and deploy AI models and machine learning pipelines to enhance chatbot programs and enterprise systems.
Role type
Applied AI Engineer (NLP & Conversational AI)
Builds
Scalable AI-driven solutions for chatbots and enterprise systems
Domain
Architecture, Engineering, and Construction (AEC) industry
Deliverable
production ML models
Required skills
Python, NLP, AI/ML libraries (Scikit-learn, TensorFlow, PyTorch, Hugging Face), LangChain, model deployment, data preprocessing, hyperparameter tuning, cloud platforms (AWS, GCP, Azure), Git
Preferred skills
Reinforcement learning, transfer learning, model monitoring, A/B testing, Docker
Technologies
LangChain, TensorFlow, PyTorch, Hugging Face, Scikit-learn, Jupyter Notebook, AWS, GCP, Azure, Docker
Responsibilities
Design and implement machine learning models for NLP and AI applications; Collaborate with product managers, data scientists, and software engineers; Create and optimize end-to-end machine learning pipelines; Continuously fine-tune and improve AI model accuracy and performance; Integrate AI models into production environments; Document AI workflows, models, and algorithms.
Seniority
Mid-level (2-5 years experience)