Machine Learning Engineer

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Develop scalable pipelines for the collection, preprocessing, and management of datasets intended for LLM training and evaluation.

• Design and conduct experiments to assess LLM accuracy, robustness, fairness, and safety.

• Construct dashboards, reports, and visualizations to effectively communicate evaluation findings, trends, and failure cases.

• Create and utilize knowledge graphs to organize data, enhance evaluation processes, and boost context-driven model performance.

• Work alongside researchers to convert innovative ideas into engineering workflows.

• Partner with data scientists to automate quality assurance checks and establish guardrails.

• Fine-tune, optimize, and integrate models within production systems.

• Implement best practices for reliability, scalability, monitoring, and continuous integration/continuous deployment (CI/CD).

• Contribute to the development of ML tooling and experimentation frameworks.

⛳️ Requirements

• 2–5+ years of experience in machine learning or data science.

• Strong foundation in software engineering.

• Proficient in Python programming.

• Familiar with testing frameworks such as pytest or unittest.

• Experience with CI/CD tools.

• Proficient in ML frameworks like PyTorch.

• Experienced with data engineering tools including Spark, Kafka, or Airflow.

• Knowledge of cloud platforms such as AWS, GCP, or Azure.

• Familiar with containerization and orchestration using Docker and Kubernetes.

• Solid understanding of supervised and unsupervised learning, deep learning, and natural language processing (NLP).

• Interest or background in cybersecurity, adversarial machine learning, anomaly detection, or related domains.

• Comfortable operating in dynamic, uncertain startup environments.

• Experience or research background in adversarial machine learning, model robustness, or explainable AI is a plus.

• Experience in creating interactive dashboards for model monitoring and visualization is a plus.

• Contributions to open-source projects in ML, NLP, or security are a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Flexible working hours and remote work options.

• Opportunities for professional development and growth.

• Access to cutting-edge technology and tools.

• Collaborative and inclusive work environment.