AI Developers (Senior Level)

• Strong background in LLMs, NLP, and RAG pipelines.
\n • Experience in Machine Learning (Mandatory)
\n • Strong Machine Learning & NLP expertise: classification, sequence models, transformers (BERT, RoBERTa), embeddings.
\n • Hands-on with Python ML/NLP libraries: scikit-learn, xgboost, lightgbm, PyTorch, TensorFlow, nltk, spaCy, transformers.
\n • Expertise in Regex and structured pattern matching for detecting sensitive data.
\n • Experience with Azure ML, Azure Data Factory, Blob Storage, Synapse, and other Azure services.
\n • Deploying ML models as Azure ML endpoints, Azure Functions, or containerized apps.
\n • Familiarity with Azure Cognitive Services for text analytics, embeddings, or NLP preprocessing.
\n • Knowledge of data privacy, DLP, and compliance frameworks (ISO, GDPR, HIPAA).
\n • Strong ETL, feature engineering, and large-scale data processing experience.
\n • Experience with Microsoft Presidio
\n • Skilled in integrating multiple LLM providers (Azure OpenAI, OpenAI, Meta, etc..).
\n • Ability to optimize LLM performance and cost in production workloads.
\n • Strong coding skills in Python
\n • Knowledge of prompt engineering and secure AI pipeline design.