AI/ML Engineer
Core
Build, deploy, and operate scalable AI/ML applications and infrastructure, automating training workflows and supporting production environments.
Role type
AI/ML Engineer (Software Engineering focus)
Builds
Scalable ML solutions, automated training/deployment workflows, production AI infrastructure
Domain
On-prem cloud-native infrastructure, Machine Learning, 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/data/platform engineers
Seniority
Mid-level (2–5+ years experience)
