Senior Machine Learning Engineer
Core
Design, build, and operationalize scalable machine learning models (classical ML, deep learning, LLM-based) to transform insurance experiences through intelligent automation and advanced analytics.
Role type
Senior Machine Learning Engineer (Production & MLOps)
Builds
Scalable AI solutions, end-to-end ML pipelines, and production-grade model systems for insurance customers.
Domain
Insurance / Financial Services / Artificial Intelligence
Deliverable
production ML models
Required skills
Python, NLP, document understanding, unstructured data processing (PDFs, images), MLOps, distributed computing, cloud platforms, CI/CD
Preferred skills
fraud detection, anomaly detection, deepfake detection, generative AI, LLM fine-tuning, agent-based systems
Technologies
Spark, Hadoop, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Design and build ML models from experimentation to production; develop and maintain end-to-end ML pipelines with monitoring; lead technical design reviews and define architecture standards; partner with stakeholders to deliver AI solutions; apply MLOps best practices; mentor junior engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities