LLM Python Engineer – Data & ML [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)

LLM Python Engineer – Data & ML [2 Months Contract]

Key Skills

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