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Asma Massad
Advanced / Senior LevelAI/ML Engineer
Role interests:
- AI & Machine Learning Engineers
Skills:
- rag
- python
- pytorch
- tensorflow
Regional interests:
- Remote/Anywhere
Country interests:
- Remote
- Yes
Remote only:
Senior AI/ML Engineer with 14+ years of software engineering experience and a Master’s in Artificial Intelligence. I specialize in building ML pipelines, deploying scalable models, and delivering AI solutions across NLP, LLMs, RAG, and time-series forecasting. I also bring a strong background in data engineering (Spark, Kafka, Airflow), cloud infrastructure (AWS), and backend development.
My recent work emphasizes LLM engineering and applied GenAI, while I continue to deliver across broader ML systems and MLOps, including:
🔹 LLM Systems & GenAI
- RAG pipelines (FAISS, Chroma)
- LangChain / LangGraph agents
- Prompt engineering & evaluation
- OpenAI & Hugging Face models
- Fine-tuning & model optimization
🔹 Machine Learning Systems
- Spatiotemporal forecasting (traffic, energy, population)
- Classical + deep learning models
- End-to-end ML pipelines from ingestion to deployment
🔹 MLOps & Data Engineering
- Apache Spark, Kafka, Airflow
- Real-time data pipelines & distributed systems
- AWS (S3, EMR, Glue, Kinesis, Redshift)
- Docker, FastAPI, Git
My recent work emphasizes LLM engineering and applied GenAI, while I continue to deliver across broader ML systems and MLOps, including:
🔹 LLM Systems & GenAI
- RAG pipelines (FAISS, Chroma)
- LangChain / LangGraph agents
- Prompt engineering & evaluation
- OpenAI & Hugging Face models
- Fine-tuning & model optimization
🔹 Machine Learning Systems
- Spatiotemporal forecasting (traffic, energy, population)
- Classical + deep learning models
- End-to-end ML pipelines from ingestion to deployment
🔹 MLOps & Data Engineering
- Apache Spark, Kafka, Airflow
- Real-time data pipelines & distributed systems
- AWS (S3, EMR, Glue, Kinesis, Redshift)
- Docker, FastAPI, Git
Job Types:
- Full Time
- Contract