TheJobsMap
Techsa logo
Techsa

21 open roles

Senior AI Machine Learning Engineer

Cairo, EgyptFull-timePosted Aug 10, 2026

Job description

  • Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration
  • Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization
  • Implement multi-agent orchestration systems using Lang. Graph, CrewAI, or Auto. Gen for autonomous workflows
  • Build and optimize RAG pipelines using Llama. Index with chunking strategies, embedding selection, re-ranking, and evaluation
  • Deploy and manage LLM inference infrastructure using vLLM or Ollama for on-premise sovereign deployments
  • Build traditional ML scoring models: churn prediction, propensity scoring, LTV estimation, next-best-action
  • Design and build feature pipelines using Apache Flink (streaming) and Spark (batch) for real-time and batch ML
  • Implement MLOps practices: model versioning, registry, drift monitoring, A/B testing, and staged rollouts
  • Design and implement AI operators for visual low-code canvas (LLM Gateway, RAG Pipeline, Intent Classifier)
  • Optimize ML inference for latency and throughput at scale (10K+ QPS)
  • Collaborate with Data Engineering and Platform teams to integrate ML systems with data infrastructure Requirements - 3+ years of hands-on ML/AI engineering with demonstrated end-to-end system ownership
  • Production experience building LLM-powered applications (not just API consumption)
  • Hands-on experience with agent orchestration: Lang. Graph, CrewAI, or Auto. Gen in production
  • Production RAG experience with evaluation metrics, hybrid search, and re-ranking strategies
  • Experience building ML models: churn, propensity, LTV, segmentation, recommendation systems
  • Hands-on experience with data pipelines: Spark for batch, Flink or Kafka Streams for real-time
  • Strong Python proficiency: production code structure, async, multiprocessing, profiling, optimization
  • Experience with vector databases at scale: Open. Search k-NN, Qdrant, or Milvus
  • Production MLOps experience: MLflow, experiment tracking, model registry, drift monitoring
  • Real-time ML inference experience at 1,000+ QPS Good to Have:
  • Experience at AI-first companies or building AI/ML platforms from scratch
  • Telco or enterprise data platform background
  • Experience with LLM fine-tuning: LoRA, QLoRA, PEFT techniques
  • Experience with embedding models: sentence-transformers, fine-tuning for domain
  • Kubernetes for ML workload orchestration and GPU scheduling
  • Knowledge of PII detection (Presidio) and LLM guardrails (Ne. Mo Guardrails)

Description copied from Techsa's careers page. Read the full posting before you apply.

More jobs at Techsa

See all openings at Techsa

Senior AI Machine Learning Engineer jobs at other companies

Apply on Techsa's site