AI / ML Engineer

ErthDev; United States; Remote; USD 34,000 - 83,000; Part time

Benefits offered by this job

Paid time off

Performance bonuses

Learning & certification support

Conference opportunities

Equipment and internet support

Medical insurance

Mentorship

Career development

Job summary

ErthDev is seeking a part-time, fully remote AI/ML engineer to develop practical features for product workflows. You will prototype models, evaluate different approaches, and build data pipelines connected to backend systems.

Applicants should be proficient in Python, familiar with LLMs and classical ML, and capable of communicating uncertainties and trade-offs with security and privacy awareness.

Qualifications

• Practical experience developing AI/ML features or prototypes for production-oriented systems.
• Strong Python skills and understanding of model evaluation and failure analysis.
• Familiarity with large language models, classical machine learning, or both.
• Ability to work with APIs and data pipelines alongside backend engineers.
• Clear communication about uncertainty and trade-offs, with sound security and privacy awareness.
• Product-minded problem solving.

Responsibilities

• Prototype and implement AI or ML features for product workflows.
• Compare models and approaches against defined success measures, analyzing quality and failure cases.
• Build data preparation and inference pipelines and connect AI services to backend systems.
• Track operational considerations such as latency, cost, and reliability, and improve monitoring.
• Collaborate with product, engineering, and security partners on responsible use.
• Document assumptions and trade-offs, protect sensitive data, and help determine when AI is not an appropriate solution.

Skills

Python

Model evaluation

Failure analysis

Uncertainty communication

Product-minded problem solving

Tools

PyTorch

scikit-learn

vector search

LangChain

LlamaIndex

cloud ML services

evaluation frameworks

Job description

Role overview

Develop practical machine-learning and AI capabilities for products and internal tools, with an emphasis on features that can be evaluated and operated reliably. The work spans experimentation, data and inference pipelines, product integration, and monitoring, while balancing quality, cost, latency, privacy, and risk.

Responsibilities

• Prototype and implement AI or ML features for product workflows.
• Compare models and approaches against defined success measures, analyzing quality and failure cases.
• Build data preparation and inference pipelines and connect AI services to backend systems.
• Track operational considerations such as latency, cost, and reliability, and improve monitoring.
• Collaborate with product, engineering, and security partners on responsible use.
• Document assumptions and trade-offs, protect sensitive data, and help determine when AI is not an appropriate solution.

Requirements

• Practical experience developing AI/ML features or prototypes for production-oriented systems.
• Strong Python skills and understanding of model evaluation and failure analysis.
• Familiarity with large language models, classical machine learning, or both.
• Ability to work with APIs and data pipelines alongside backend engineers.
• Clear communication about uncertainty and trade-offs, with sound security and privacy awareness.
• Product-minded problem solving.

Nice to have

• Experience with PyTorch, scikit-learn, vector search, orchestration libraries such as LangChain or LlamaIndex, cloud ML services, or evaluation frameworks.

Benefits and work setup

Part-time, fully remote work from Egypt, with flexible hours and some collaboration overlap. Cairo office access is available when needed.

• Listed support includes paid annual and sick leave, performance bonuses, annual salary reviews, learning and certification support, conference opportunities, equipment and internet support, medical insurance, mentorship, and career development.