Ai Engineer

6 days ago

Cairo, Egypt FlairsTech Full time

**Requirements and responsibilities**-
- **Responsibilities**:

- Build, train, and deploy machine learning and AI models across supervised, unsupervised, and deep learning workflows.
- Integrate and fine-tune pre-trained models (LLMs, vision, NLP) from platforms such as OpenAI, Anthropic, AWS Bedrock, Azure AI, and Hugging Face.
- Develop end-to-end ML pipelines covering data processing, model training, and inference.
- Work closely with data and software engineering teams to deliver scalable, maintainable systems.
- Optimize models for performance, latency, scalability, and cost.
- Implement model evaluation, monitoring, and performance tracking.
- Stay updated on emerging AI tools, frameworks, and techniques.
- **Requirements**:

- Demonstrated experience developing and deploying ML models (regression, classification, NLP, computer vision).
- Strong proficiency in Python and major ML/DL frameworks such as PyTorch, TensorFlow, or Keras.
- Hands-on experience with AI APIs and SDKs (OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, etc.).
- Ability to build RESTful APIs, web apps, or microservices using FastAPI, Flask, or Django.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience with semantic databases (Neo4j, RDF stores, knowledge graphs) and relational databases (PostgreSQL, MySQL).
- Solid understanding of version control, model evaluation, and deployment best practices.
- **Preferred**:

- Experience with MLOps workflows (CI/CD, model registries, monitoring, governance).
- Knowledge of data orchestration tools (Airflow, Prefect, Kafka).
- Exposure to vector databases (FAISS, Pinecone, Weaviate) and RAG architectures.
- Familiarity with prompt engineering or LLM fine-tuning.

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