Appsierra
From Appsierra's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
We are seeking experienced Machine Learning Engineers with advanced academic qualifications and strong Python development skills to contribute to an AI training project.
The work involves developing, implementing, reviewing, and validating machine learning engineering tasks across model development, training and inference systems, numerical computing, and performance optimisation.
This is a highly coding-intensive role requiring practical experience with Python and coding agents.
Develop and validate machine learning models, training pipelines, and inference systems.
Implement model components, data pipelines, evaluation systems, and numerical methods.
Build reproducible workflows using Python and command-line tools.
Debug numerical and system-level issues.
Optimise memory usage, computational efficiency, and processing throughput.
Review and validate implementations against defined correctness and performance requirements.
Required Qualifications
Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
Strong professional or research experience in machine learning.
Practical proficiency in Python and coding agents.
Experience developing, testing, and debugging machine learning systems.
Strong problem-solving and technical evaluation skills.
Experience at established technology companies, AI laboratories, research organisations, or recognised engineering environments is preferred. Exceptional academic or open-source experience may also qualify.
Core Skills
Machine Learning
Python Programming
Coding Agents
Model Development
Training and Inference Systems
Numerical Computing
Data Pipelines
Performance Optimisation
Debugging and Validation
Command-Line Tools
$60–$120 per hour, paid per approved task.
Approximately 15 hours per week.
Fully remote, open globally.
Flexible working hours and days, including weekends.
Independent contractor engagement.
Payment is output-based; task duration varies, and minimum submission requirements apply.
Start Timeline and Hiring Process
Candidates should be available to start immediately. The first task is expected within 24–48 hours after onboarding.
Submit an application and complete screening questions.
Complete an AI interview of approximately 30 minutes.
Hiring manager review.
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