Machine Learning Engineer

🔥 4 minutes ago

🇪🇬 Egypt – Remote

💵 $36k - $48k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

WitnessAI

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

🏢 Enterprise

Artificial Intelligence • Cybersecurity • Enterprise

WitnessAI is developing an AI security platform designed to make artificial intelligence safe, productive, and usable for enterprises. The platform provides tools to monitor, audit, and control AI activity, ensuring visibility, policy enforcement, and security. By addressing challenges related to AI usage, such as privacy, security, and data protection, WitnessAI helps enterprises harness the power of generative AI while minimizing associated risks. The company is composed of a global team of experts and engineers focused on unlocking AI's potential with minimized risks.

📋 Description

• Build scalable pipelines to collect, preprocess, and manage datasets for LLM training and evaluation • Design and run experiments evaluating LLM accuracy, robustness, fairness, and safety • Create dashboards, reports, and visualizations communicating evaluation results, trends, and failure cases • Develop and leverage knowledge graphs to structure data, enrich evaluation, and improve context-driven model performance • Collaborate with researchers to translate new ideas into engineering workflows • Collaborate with data scientists to automate QA checks and guardrails • Fine-tune, optimize, and integrate models into production systems • Apply reliability, scalability, monitoring, and CI/CD best practices • Contribute to ML tooling and experimentation frameworks

🎯 Requirements

• 2–5+ years working in machine learning or data science • Strong software engineering background • Proficiency in Python • Experience with testing frameworks such as pytest or unittest • Experience with CI/CD tools • Proficiency in ML frameworks such as PyTorch • Experience with data engineering tools such as Spark, Kafka, or Airflow • Familiarity with AWS, GCP, or Azure • Familiarity with Docker and Kubernetes • Strong knowledge of supervised and unsupervised learning, deep learning, and NLP • Interest or background in cybersecurity, adversarial ML, anomaly detection, or related fields • Comfortable working in fast-moving, ambiguous startup environments • Research or industry experience in adversarial ML, model robustness, or explainable AI is nice to have • Experience building interactive dashboards for model monitoring and visualization is nice to have • Contributions to open-source ML, NLP, or security projects are nice to have

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume