Company
| Legal Name | Miles AS |
| Headquarters | Vancouver, Canada |
| Website | https://letsgo-miles.com |
Miles is looking to expand its data science and data engineering team in INDIA! Here's a quick checklist: You live in India Want to work for a fast-growing Silicon Valley Startup You are passionate about solving challenging problems You are looking to put your stamp on the product What you'll need: Education Master's/PhD (preferred) or Bachelor's (required) in CS/ML/AI or relevant computational/engineering discipline Machine Learning/Data Science: Solid theoretical understanding of ML fundamentals: linear algebra, probability, statistics (as relevant to ML), optimization Knowledge of different ML techniques and when/how to use them: classification, regression, clustering, outlier detection, dimensionality reduction, etc. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources Experience with messy real-world data -- handling missing/incomplete/inaccurate data Proficient in the Python ML ecosystem: NumPy, Pandas, SciPy, Scikit-Learn Strong understanding of relational databases like PostgreSQL is a plus Programming experience: At least 2+ years of experience writing production-quality Python code Version control: Git, GitHub/Bitbucket Experience delivering large-scale deployable projects Great to have We deal with large volumes of geospatial data, so experience working with geospatial data at scale is a big plus Knowledge of Python (Shapely, GeoPandas, Fiona, CartoPy, etc) and/or database (PostGIS) geometry/geospatial tools Domain experience in building models for location-based services, transportation, scheduling, vehicle routing
| Country | City | Job Ads |
|---|---|---|
| Germany | Berlin | 1142 |
| Germany | Köln | 92 |
| Belgium | Brussels | 45 |
| Germany | Norderstedt | 15 |
| Germany | Pulheim | 10 |
| Germany | Frankfurt | 8 |
| Germany | Hamburg | 6 |
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Legal Form: AS
Company Type: Public
Company Size: 51 - 250
Revenue: ~ 500 million (USD)
Job Ads found: 1318
Job Ads per Month: 27.5
Hiring Locations: 7
| Date of first job ad | 01.05.2015, 00:57 |
| Date of last job ad | 02.07.2026, 17:05 |
| Date merged | 06.07.2026, 16:06 |
| Date created | 01.05.2015, 00:57 |