Senior Python Developer

4 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Remote

Job Type

Contractual

Job Description

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About the Client (Turing)

Turing, based in San Francisco, partners with global enterprises and frontier AI research labs.

They specialize in:

  • Accelerating AI research with elite engineering, data, and infrastructure talent
  • Helping enterprises convert AI proofs-of-concept into production-grade systems

Role Overview: Senior Python Developer (Top Coder Track)

LeetCode, Codeforces, HackerRank, or Kaggle

pure coding role

What You’ll Do

  • Build, test, and optimize high-performance Python systems for AI and data pipelines
  • Develop clean, modular, and production-ready backend components
  • Collaborate with data, infra, and research engineering teams
  • Write efficient and scalable code with a strong focus on algorithms and data structures
  • Stay updated with modern Python tools, frameworks, and best practices

Required Qualifications

  • Bachelor’s/Master’s in Computer Science or related field
  • 4+ years of professional Python experience in production
  • Expert proficiency in Python & core libraries:
  • Pandas, NumPy, AsyncIO, FastAPI (or similar)

  • Strong rating or top percentile presence on coding platforms:
  • LeetCode, Codeforces, HackerRank, Kaggle

    , etc.
  • Deep understanding of data structures, algorithms, and performance optimization
  • Strong coding fundamentals & system design skills
  • Working knowledge of Machine Learning/Data Science

Preferred Qualifications

  • Experience with distributed systems, REST APIs, or data processing pipelines
  • Cloud experience (AWS/GCP/Azure) & CI/CD familiarity
  • Open-source contributions or developer tool-building experience
  • Comfort working in fast-paced, research-driven environments

Bonus Skills

  • Recognized achievements in Kaggle, Codeforces, ICPC, TopCoder
  • Curiosity for performance tuning, scalability, and clean architecture

Perks of Freelancing with Turing

  • 100% remote
  • Work with top-tier AI labs and research teams
  • High ownership and autonomy
  • Real-world engineering challenges

Vetting:

  • Technical Interview (60 min)

    — Python, algorithms, system design
  • Delivery & Culture Fit Round (15 min)

Mock Interview

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