AI/ML Engineer
Core
Build, deploy, and operate scalable AI/ML applications and infrastructure, automating training workflows and serving models.
Role type
AI/ML Engineer (Software Engineering focus)
Builds
Production AI applications, automated ML pipelines, and on-prem cloud-native infrastructure
Domain
Enterprise AI, Cloud-native infrastructure, Software Engineering
Deliverable
production ML models
Required skills
Python (FastAPI, async), Machine Learning fundamentals, PyTorch/TensorFlow/scikit-learn, Linux, Docker, Kubernetes, Git
Preferred skills
LLMs and prompt engineering, RAG pipelines, vLLM/Ollama, Vector databases (Qdrant), TypeScript/Next.js, Orchestration tools (Kubeflow, Kuberay)
Responsibilities
Develop scalable ML solutions, automate training and deployment workflows, support production AI infrastructure, collaborate with software and platform engineers
Seniority
Mid-level, hands-on IC
