Python Developer

Python Developer

AssetIntel is seeking a talented Python Developer to join our team. This role is ideal for individuals passionate about turning complex mathematical formulations into robust, production-grade software. You will be instrumental in developing and enhancing the analytical engines that power our asset management software products for the transportation infrastructure industry.

About the Role

As a Python Developer at AssetIntel, you will own the analytical engines behind our products. This involves working with cutting-edge problems in long-term deterioration modeling, budget optimization, real-time hazard prediction, probabilistic damage assessment, geospatial analysis, and lifecycle cost forecasting. You will collaborate closely with domain experts and researchers, translating mathematical specifications into clean, maintainable, and production-ready Python code.

What You'll Do

• Translate mathematical specifications, equations, and pseudocode into correct, readable, testable, and maintainable Python code.
• Progressively improve existing codebases by enhancing architecture, modularity, type safety, test coverage, error handling, and overall code quality.
• Build new analytical features end-to-end, from mathematical concept to deployed, production-ready code.
• Bridge the gap between research and engineering by effectively communicating complex ideas and collaborating with diverse teams.

What We're Looking For

• At least 3 years of professional experience with Python.
• Strong Python fundamentals, emphasizing clean, idiomatic code and high code quality.
• Experience with numerical/scientific Python libraries such as pandas, NumPy, and SciPy.
• Ability to understand and reason about mathematical formulations, including equations, probability distributions, and optimization concepts, or a strong willingness to learn.
• Proven experience writing and maintaining production-level Python code.
• Good understanding of software architecture principles, including refactoring, module decomposition, and dependency management.
• Clear communication skills and ability to collaborate effectively with researchers and domain experts.
• Proficiency with Git and collaborative development workflows.

Bonus Points

• Experience with mathematical optimization (LP, MIP).
• Familiarity with geospatial tools like GeoPandas or Shapely.
• Experience with real-time data pipelines or external APIs.
• Knowledge of Docker and containerized deployments.
• Experience with cloud infrastructure (Azure or similar).
• Proven success in introducing engineering discipline (tests, CI/CD, type hints) into research codebases.

Nice-to-Haves

• Experience with multiprocessing in Python and memory-aware resource management.
• Familiarity with probabilistic modeling, fragility analysis, or statistical risk assessment.

Benefits and Perks

• Remote work opportunity within India.
• Market-competitive total compensation package with performance-based bonuses.
• Company-paid medical coverage.
• Fully equipped home office setup, including a high-spec computer, dual monitors, desk, and chair.
• Abundant growth opportunities, working with industry leaders.

Key skills/competency

• Python Development
• Analytical Engines
• Mathematical Modeling
• Software Architecture
• Production Code
• Data Analysis
• Algorithm Implementation
• Numerical Libraries (NumPy, Pandas)
• Geospatial Analysis
• Research to Engineering Translation