
AI Model Development Specialist
2 weeks ago
We are seeking a highly skilled professional with expertise in developing, training, and validating predictive and analytical models using machine learning techniques.
The ideal candidate will have strong proficiency in Python and experience with MLOps tools/frameworks such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML. They should also have good understanding of data engineering concepts including ETL, data pipelines, APIs, and containerization and orchestration using Docker and Kubernetes.
The successful candidate will be responsible for deploying machine learning models into production using best practices for MLOps and building automated pipelines for model training, testing, monitoring, and retraining. They will also be required to optimize model performance and ensure scalability and reliability.
Key skills required include:
- Python programming skills
- MLOps tools/frameworks such as MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, or Azure ML
- Data engineering concepts including ETL, data pipelines, APIs, and containerization and orchestration using Docker and Kubernetes
- Strong background in statistics, machine learning algorithms, and model evaluation techniques
Preferred qualifications include a Bachelor's/Master's degree in Computer Science, Data Science, Statistics, or related field and experience in handling large-scale data pipelines and real-time model serving.
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