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What You’ll Do
- Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
- Design and maintain modular, clean, and production-ready Python codebases.
- Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
- Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
- Stay current with modern Python tools, frameworks, and best practices.
Required Qualifications
- Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
- 4+ years of professional experience writing Python in production environments.
- Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
- Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
- Deep understanding of data structures, algorithms, and problem-solving at scale.
- Experience with system design, clean architecture, and performance optimization.
- Working level Proficiency in ML/DS
Preferred Qualifications
- Strong experience with distributed systems, APIs, or data processing pipelines.
- Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows.
- Experience in open-source contributions or building developer tools.
- Comfort working in fast-paced, research-driven environments.
Key Skills
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