Senior Applied AI / ML Engineer

Job Description Role Overview Senior Applied AI / ML Engineer - Software Engineering Senior Applied AI / ML Engineer – Agentic & Intelligent Automation We are looking for a Senior Applied AI / ML Engineer to design and build production-grade AI solutions for complex, high-volume transactional and regulated environments. The role combines machine learning, GenAI/LLMs, agentic workflows and strong software/data engineering. The ideal candidate is a hands-on engineer who can take AI solutions beyond experimentation and build scalable, explainable and auditable production systems. Key Skills - Python - Machine Learning - GenAI/LLMs - Agentic Workflows - SQL - Data Engineering - AWS - Azure - MLOps/LLMOps - Anomaly Detection - Classification - Regression - Gradient Boosting - SHAP/Feature Attribution - LLMs - Tool/Function Calling - Prompt Engineering - LangGraph - Semantic Kernel - LlamaIndex - RAG - Embeddings - Vector/Hybrid Search - Retrieval Evaluation - APIs - Kafka - Model Monitoring - Evaluation - Observability - CI/CD Required Skills ['Python', 'Machine Learning', 'GenAI/LLMs', 'Agentic Workflows', 'SQL', 'Data Engineering', 'AWS', 'Azure', 'MLOps/LLMOps'] Additional Information Use public JD while sourcing.