AI Engineer
Core
Design, train, and optimize Machine Learning and Deep Learning models for specific use cases like computer vision, NLP, and prediction.
Role type
Machine Learning Engineer
Builds
Production ML models integrated into applications and pipelines
Domain
Artificial Intelligence, Data Science
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Data Preprocessing, Statistical Analysis, Linear Algebra, Neural Networks, MLOps basics
Preferred skills
R or C++, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, Matplotlib/Seaborn, Jupyter Notebook, Git, Docker, SQL/NoSQL, Cloud platforms (AWS, Azure, GCP)
Technologies
Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Git, Docker, AWS, Azure, GCP
Responsibilities
Design, train, and optimize ML and Deep Learning models; Clean, structure, and analyze datasets; Integrate models into production applications and pipelines; Collaborate with business teams to translate requirements into technical solutions
Seniority
Junior to Mid-level (1-3 years experience)