Job Location: New York, NY
Job Description:
Machine Learning Engineer’s responsibilities will include building, deploying, and monitoring Deep Learning Models in a production environment. You will help implement tools for model management during development. Additionally, you will help set up deployment and monitoring systems for production use. To do this job successfully, you need exceptional skills in ML model building. Bonus points if you also have experience with MLOps, Geospatial, web, and general software engineering. If you are seeking a fast-paced environment and eager to work on cutting-edge technologies, we’d like to meet you!
Responsibilities
- Build ML/DL models
- Image to Image
- Deploying Models to Production
- Automate ML lifecycle
- Aggregating data from different sources (Arcgis, DB, and webapp)
- Creating systems for feature engineering on a large scale
- Building and optimizing data pipelines to automate processing millions of rows of data
- Implement MLOps tools across lifecycle
- Help architect ML system design
- Tracking performance of models during development across different hyperparameters, feature selection, model architecture
- Deploy (CI/CD) and monitor models
- Design process to retrain and redeploy models as new data becomes available (continuous training)
- Keep abreast of developments in the field
Skills
- Python
- Pip/Conda
- TensorFlow/Keras
- NumPy
- Pandas
- FastApi
- GitHub
- AWS
- EC2
- RDS
- Geospatial (Arcgis, Postgis, Shapely)
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