As a Machine Learning Engineer your responsibilities will include:
- Setting up Machine Learning infrastructure including, model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster)
- Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference
- Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training
- Role will initially be focused on setting up MLOps and then grow into researching, developing, debugging, and deploying models to production using our hyperspectral data
Basic qualifications:
- 3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.
- Python, Pytorch, Weights and Biases, ML Flow, DVC, Ray, Dask, data science stack
- Experience with deploying and monitoring models in clouds environments (AWS)
- Ability to work independently as well as collaboratively in a startup environment
- Comfortable with rapid decision-making and taking ownership of system design
- Excellent written and oral communication skills
Standout candidates will have:
- Experience in machine learning for remote sensing data,, hyperspectral data and Geospatial data
- Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray, ENVI
Benefits of working at OSK:
- We offer competitive compensation and equity packages
- Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents
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