Senior Data/AI/ML Technical Interviewer (Data Engineering, ML, MLOps, NLP) job opportunity at Gramian Consultancy.

Home Jobs In Egypt Tag: ML, MLOps, NLP) Senior Data/AI/ML Technical Interviewer (Data Engineering, ML, MLOps, NLP) position at Gramian Consultancy


Date2026-01-08T11:31:45.059Z bot
Gramian Consultancy Senior Data/AI/ML Technical Interviewer (Data Engineering, ML, MLOps, NLP)
Experience: 5-years
Pattern: Contract
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ML, MLOps, NLP)

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Egypt

About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are hiring a Senior Technical Interviewer specializing in Data, AI, and Machine Learning to assess candidates across Data Engineers , Data Analysts , Machine Learning Engineers , AI/GenAI Engineers , MLOps Engineers , Data Scientists , and Computer Vision / NLP Engineers . You will run structured interviews covering statistics, data modeling, pipelines, ML fundamentals, experimentation, model evaluation, productionization, and responsible AI—while ensuring consistent scoring and a strong candidate experience. Key Responsibilities Conduct technical screens and deep-dives for data/AI roles: SQL, Python, data modeling, ML theory, and applied system design. Assess practical skills: feature engineering, evaluation metrics, leakage detection, experiment design, and tradeoff analysis. Evaluate production readiness: monitoring, drift detection, CI/CD for ML, deployment patterns. Provide clear, rubric-based feedback and participate in calibration and leveling. Improve question banks, rubrics, and interview loops for data and AI roles. Stacks/Areas Covered (as applicable) Data Engineering: ETL/ELT, orchestration, warehouses/lakes, SQL, Spark ML Engineering / DS: Python, model training, evaluation, feature stores AI/GenAI: LLM fundamentals, prompting, RAG concepts, guardrails (high-level) MLOps: pipelines, model registry, CI/CD, observability/monitoring NLP/CV: embeddings, transformers concepts, vision pipelines (role-dependent) 5+ years in Data Engineering, ML Engineering, Data Science, or MLOps (or a blend). Strong ability to evaluate SQL, Python, data modeling, and ML fundamentals. Experience with production data/ML systems (monitoring, reliability, performance). Structured interviewing experience preferred; strong rubric-writing skills. English: Fluent Arabic: Native

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