AI/ML Engineer - Python [2 Months Contract]
Mogi I/O : OTT/Podcast/Short Video Apps for youBrazil7 days ago
ContractRemote FriendlyEngineering, Information Technology
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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
Nice-to-Have Qualifications
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.
- 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.
- Full-time availability: 40 hours/week (mandatory 4-hour PST overlap)
- Immediate start (max NP: 1 week)
Key Skills
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