Posted:3 hours ago|
Platform:
Work from Office
Full Time
- 57 years of industry experience building and deploying machine learning models.
- Strong proficiency with machine learning algorithms including XGBoost, linear regression, and classification models.
- Hands-on experience with AWS SageMaker for model development, training, and deployment.
- Solid programming skills in Python (and relevant libraries such as scikit-learn, pandas, NumPy, etc.).
- Strong understanding of model evaluation metrics, cross-validation, hyperparameter tuning, and performance optimization.
- Experience in working with structured and unstructured datasets.
- Knowledge of best practices in model deployment and monitoring in a production environment (ML Ops desirable).
- Familiarity with tools like Docker, Git, CI/CD pipelines, and AWS ML services.
- Excellent problem-solving skills, critical thinking, and attention to detail.
- Strong communication and collaboration skills.
Nice to Have:
- Experience with additional AWS services like Lambda, S3, Step Functions, CloudWatch.
- Exposure to deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with DataOps practices and agile methodologies.
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