
Senior Machine Learning Engineer
6 days ago
Data Scientist Role
This role is responsible for bridging the gap between research and production by implementing machine learning operations (MLOps) best practices, ensuring model reliability, and optimizing performance at scale.
- Develop, optimize, and deploy machine learning models into scalable and secure production environments.
- Build and optimize data pipelines for model training, evaluation, and inference.
- Ensure high data quality, availability, and consistency across the ML lifecycle.
- Implement frameworks for model versioning, monitoring, retraining, and continuous integration/continuous deployment (CI/CD).
Requirements
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field.
- Strong coding expertise in Python.
- Hands-on experience with machine learning frameworks: scikit-learn, TensorFlow, PyTorch.
- Proficiency in cloud platforms: AWS, Azure, or GCP.
- Experience with Docker, Kubernetes for model deployment at scale.
Benefits
- Global or regional project scope depending on business needs.
- Reduced lead time for model deployment.
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