Senior Machine Learning Engineer
Core
Define AI strategy and build classical ML models for operational leverage (fraud, churn, forecasting) and LLM-powered systems for customer support and product features.
Role type
Senior Machine Learning Engineer (Classical ML & LLMs)
Builds
Production ML models for payments/risk, RAG pipelines, agentic workflows, and user-facing AI features.
Domain
Fintech / Telecommunications / AI
Deliverable
production ML models | product features
Required skills
Classical ML (feature engineering, model selection, validation), LLM frameworks (LangChain, LangGraph, LlamaIndex), RAG system development, MLOps (MLflow, Airflow, Kubernetes), vector databases, prompt evaluation, cloud platforms (AWS/GCP/Azure), Python, CI/CD for models
Preferred skills
Experience in regulated/operational domains (fintech, payments, telecom), MLOps tooling depth
Technologies
Python, LangChain, LangGraph, LlamaIndex, MLflow, Airflow, Kubernetes, AWS, GCP, Azure, Vector Databases
Responsibilities
Own end-to-end ML lifecycle from scoping to deployment and monitoring; Build and maintain risk/fraud models and churn prediction systems; Develop RAG pipelines and agentic workflows for customer support; Integrate LLM capabilities into user-facing product features; Establish evaluation harnesses and monitoring for model drift
Seniority
Senior, hands-on IC
