AI/ML Engineer - Python [2 Months Contract]

Location: Permanent Remote

Work Type: Contractor, 20–40 hours/week (Full-time preferred), 4-hour PST overlap

Experience Required: 4 – 6 Years

Contract Duration: 2 Months (Immediate Start)

Compensation: USD 15 – 22 per hour (Supplier-only information)

Eligibility: Immediate joiners / max 1 week NP

Employment Type: Contractor (No medical or paid leave)

Job Overview

Looking for a world-class Python Engineer with strong machine learning skills and exceptional problem-solving capability. This role is part of Turing’s Top Coder Track—ideal for candidates with a strong record on platforms like LeetCode, Codeforces, HackerRank, or Kaggle.This is a pure engineering role focused on building high-performance Python systems, ML workflows, and scalable backend components supporting advanced AI research teams.

Key Responsibilities

• Build, test, and optimize high-performance Python systems for AI and ML pipelines.
• Design modular, clean, production-ready code with strong algorithmic efficiency.
• Develop backend components that integrate with data, infra, and research teams.
• Write maintainable Python code with a deep focus on data structures & algorithms.
• Work with ML libraries (Scikit-Learn, NumPy, Pandas) for model development and deployment.
• Contribute to system design, clean architecture, and performance optimization.
• Leverage modern Python tools and best practices in high-scale environments.
  

Must-Have Qualifications

• Bachelor’s/Master’s degree in Computer Science, ML, AI, Statistics, or similar.
• 4+ years of hands-on experience with production-grade Python.
• Strong in Python coding, logic, and problem-solving.
• 1+ year of ML development experience.
• Proficiency with ML libraries: Pandas, NumPy, Scikit-Learn.
• Proven experience deploying ML models to production systems.
• Strong fundamentals in data structures, algorithms, and clean coding.
  

Nice-to-Have Qualifications

• Prior experience in AI model training or ML data preparation.
• Experience with distributed systems or data pipelines.
• Familiarity with cloud (AWS/GCP/Azure) and CI/CD workflows.
• Experience contributing to open-source codebases.
• Background in competitive programming (Kaggle/Codeforces/ICPC/etc).
• Exposure to Agile development environments.
  

Commitments Required

• Full-time availability: 40 hours/week (mandatory 4-hour PST overlap)
• Immediate start (max NP: 1 week)