Machine Learning Engineer
Core
Operationalize, deploy, monitor, and maintain AI models with a primary focus on intelligent document management (OCR, classification, extraction) via microservices.
Role type
Machine Learning Engineer (Production)
Builds
Intelligent document management microservices and inference APIs
Domain
AI/ML, Document Processing, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python (advanced), Kubernetes, FastAPI, OCR/NLP models, async programming, microservices architecture, performance optimization, model versioning
Preferred skills
IBM Cloud, IBM Kubernetes Service (IKS), Grafana, Istio, ingress management
Technologies
Python, FastAPI, Kubernetes, IBM Cloud, IKS, Grafana, Istio
Responsibilities
Deploy and operate ML models on Kubernetes, build and maintain inference pipelines, optimize service performance and scalability, design and manage inference microservices and REST APIs, monitor systems and adjust based on metrics, diagnose and resolve production incidents, manage model and API versioning, collaborate with Data Science and Software Engineering teams
Seniority
Mid-level, hands-on IC
