The role
Gramian Consulting needs a research-level ML engineer for a coding-heavy AI training project, working about 15 hours a week on contract. You'll build, debug and optimize ML implementations in Python, using coding agents.
What you'll do
- Build and validate ML models, training pipelines and inference systems
- Debug numerical, algorithmic and system-level failures to find root causes
- Optimize training and inference for memory, throughput and efficiency
- Write tests and review existing ML code and proposed solutions
- Document approaches, test results and performance findings
What they're looking for
- Master's or PhD in a quantitative field
- Strong professional or research ML engineering experience
- Strong Python skills: implement, debug, test and optimize code
- Hands-on use of coding agents in a Python workflow
- About 15 hours a week, starting within 24-48 hours of onboarding
Skills and platforms
- Python
- Machine Learning
- Model Development
- Numerical Computing
- Performance Optimization
- Inference Systems
- Data Pipelines
- Algorithmic Debugging
- Coding Agents
- Quantitative Analysis
- System-level Programming
- Reproducible Workflows
- Computational Efficiency
- Software Engineering
- Technical Documentation
The company
Gramian Consulting
IT Services and IT Consulting
Gramian Consulting is your partner for accessing the engineering capabilities you need—delivered in the model that fits your business, from staff augmentation and talent recruiting to…
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