
AI Model Deployment Specialist
6 days ago
Description:
We are seeking a skilled Artificial Intelligence Engineer to develop, train, and validate predictive and analytical models using machine learning techniques. The ideal candidate will collaborate with data engineers and business teams to define data requirements and success metrics.
Key Responsibilities:
- Develop and deploy machine learning models into production using best practices for AI Ops.
- Benchmark model performance and ensure scalability and reliability.
- Implement automated pipelines for model training, testing, monitoring, and retraining.
- Monitor model drift, performance degradation, and ensure continuous improvement.
Requirements:
- Strong proficiency in Python programming language, including Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow.
- Experience with AI Ops tools/frameworks, such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML.
- Familiarity with cloud platforms, such as AWS, GCP, or Azure, for AI model deployment.
- Strong background in statistics, machine learning algorithms, and model evaluation techniques.
Preferred Qualifications:
- Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related field.
- 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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