
Senior Artificial Intelligence Engineer
2 days ago
• Develop, train, and validate predictive models using machine learning techniques.
• Collaborate with data engineers to define data requirements and success metrics.
• Deploy AI models into production using best practices.
• Build automated pipelines for model training, testing, monitoring, and retraining.
• Optimize model performance and ensure scalability and reliability.
• Monitor model drift, performance degradation, and ensure continuous improvement.
• Implement CI/CD practices for AI workflows.
Required Skills and Qualifications• Strong proficiency in Python (Pandas, NumPy, Scikit-learn).
• Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow).
• Good understanding of data engineering concepts (ETL, data pipelines).
• Hands-on with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cloud platforms (AWS, GCP) for AI model deployment.
• Strong background in statistics, machine learning algorithms, and model evaluation techniques.
• Familiarity with version control (Git).
Preferred Qualifications• Bachelor's/Master's degree in Computer Science, Data Science, Statistics.
• Experience in handling large-scale data pipelines and real-time model serving.
• Exposure to feature stores and automated model monitoring.
• Strong problem-solving, analytical, and communication skills.
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