Must have professional experience in an AI Engineering, Machine Learning Engineering, or a related software development role.
Expert proficiency in Python and its ecosystem, including libraries for data manipulation (Pandas, NumPy) and scientific computing.
Hands-on experience with at least one major Deep Learning framework (e.g., PyTorch or TensorFlow/Keras).
Solid understanding of core machine learning algorithms (e.g., Regression, Classification, Clustering) and statistical analysis.
Familiarity with SQL and experience working with various database systems.
Experience with Git or similar version control systems.
Experience in MLOps tools and practices (e.g., MLflow, Kubeflow).
Experience with cloud computing platforms (AWS, Azure, or GCP) for deploying scalable applications.
Familiarity with big data technologies (e.g., Spark, Hadoop) or stream processing (e.g., Kafka).
Experience in a specialized AI domain such as Natural Language Processing (NLP) or Computer Vision.

AI Engineer