Machine Learning Pipeline Expert
Argentina, Argentina
NirYu
Nir-Yu provides a bespoke service for companies looking to add Latin American staff to help them achieve more for less.We are seeking a highly skilled Machine Learning Pipeline Expert to design and build end-to-end ML solutions focused on predictive failure modeling for our distributed and remote asset infrastructure. You will be instrumental in developing robust, scalable, and efficient ML pipelines, leveraging MongoDB/Atlas Data Lake for data storage and processing, and AWS SageMaker and PyTorch for model training, tuning, and deployment.
Requirements:
- 5+ years of experience in machine learning and data engineering, focused on ML pipeline development and deployment.
- Hands-on experience with MongoDB / Atlas Data Lake, including querying, aggregation, and schema design.
- Proficient in PyTorch for deep learning model development.
- Strong working knowledge of AWS SageMaker, including pipeline orchestration, training jobs, and endpoint management.
- Experience building ML pipelines for predictive maintenance, anomaly detection, or time-series analysis.
- Proficiency in Python and ML frameworks (e.g., NumPy, pandas, scikit-learn).
- Solid understanding of MLOps, DevOps principles, and tools (e.g., Git, Docker, CI/CD pipelines).
- Excellent problem-solving and communication skills; ability to work independently and in cross-functional teams.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS CI/CD Deep Learning DevOps Docker Engineering Git Machine Learning ML models MLOps Model training MongoDB NumPy Pandas Pipelines Predictive Maintenance Python PyTorch SageMaker Scikit-learn
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