Artificial Intelligence Engineer

Proficiency in Python. Familiarity with Java, C, or R. Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Spark ML). Strong knowledge of SQL and database design principles. Experience with big data tools (e.g., Hadoop, Spark). Experience with visualization tools (e.g., Looker, Tableau, Power BI). Understanding of ETL processes and data integration workflows. Experience deploying models into production environments. Familiarity with cloud services (AWS, GCP, or Azure). Knowledge of Unix/Linux environments and scripting (Bash) is an asset.

Design, develop, and deploy artificial intelligence and machine learning models. Work with large datasets for cleaning, preprocessing, and feature engineering. Build and optimize pipelines for model training, testing, and deployment. Collaborate on database design, ETL processes, and data integration. Research and apply emerging techniques in NLP, computer vision, and predictive analytics. Utilize cloud platforms (AWS, GCP, or Azure) and big data technologies. Create dashboards and visualizations to communicate findings. Document workflows, findings, and results.