Python Engineer – Scientific Computing
AssetIntel
full-time
Posted on:
Location Type: Remote
Location: India
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About the role
- Translate mathematical specifications into production code. You'll receive formulations, equations, and pseudocode from the research side of the team. Your job is to understand the intent and write Python that is correct, readable, testable, and maintainable.
- Improve existing codebases. The current code works in production but has room for architectural improvement. You'll progressively modernize it — better modularity, type safety, test coverage, error handling, and overall code quality.
- Build new analytical features end-to-end. As our products evolve, you'll implement new capabilities — taking them from mathematical concept to deployed, production-ready code.
- Bridge the gap between research and engineering. The ability to communicate across these worlds — asking good questions, translating between math and code, pushing back constructively will be critical to your success here.
Requirements
- Strong Python fundamentals — you write clean, idiomatic Python and care about code quality.
- Experience with numerical/scientific Python libraries: pandas, NumPy, SciPy.
- Ability to read and reason about mathematical formulations — comfort with equations, probability distributions, and optimization concepts, or a genuine eagerness to learn.
- Experience writing and maintaining production Python code, not just scripts or notebooks.
- Good instincts for software architecture — when to refactor, how to decompose large modules, how to manage dependencies.
- Clear communication skills, especially the ability to collaborate with researchers and domain experts.
- Comfort with Git and collaborative development workflows.
- Experience with mathematical optimization (linear programming, mixed-integer programming) (strong-to-haves).
- Experience with geospatial libraries (geopandas, shapely, rasterio) or working with GIS data (strong-to-haves).
- Experience consuming external APIs and working with real-time data pipelines (strong-to-haves).
- Familiarity with Docker and containerized deployments (strong-to-haves).
- Exposure to Azure services or similar cloud infrastructure (strong-to-haves).
- Experience introducing engineering practices into research-originated codebases — tests, CI/CD, type hints, linting — without breaking things (strong-to-haves).
- Experience with multiprocessing in Python and memory-aware resource management (strong-to-haves).
- Background in civil engineering, transportation, or infrastructure asset management (nice-to-haves).
- Familiarity with probabilistic modeling, fragility analysis, or statistical risk assessment (nice-to-haves).
Benefits
- Work remotely - anywhere from India.
- Market-competitive total compensation package and performance-based bonus.
- Company-paid medical coverage.
- Fully equipped home office setup, including a high-spec computer, dual monitors, desk, and chair.
- Plenty of growth opportunities, working alongside some of the brightest minds in the industry.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonpandasNumPySciPymathematical optimizationlinear programmingmixed-integer programminggeopandasshapelyrasterio
Soft Skills
clear communicationcollaborationproblem-solvingcritical thinkingcode quality focus