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. Skills: Python OR Python for ML \| Machine Learning OR PyTorch OR Keras OR TensorFlow OR Scikit\-Learn **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)