Senior AI and Machine Learning Engineer
Core
Design, develop, deploy, and operate production-ready AI solutions, translating analytical and business requirements into scalable applications and services.
Role type
Senior IC machine learning engineer (MLOps/LLMOps)
Builds
Production-grade AI solutions, scalable applications, and platform capabilities for AI products
Domain
Enterprise technology, Generative AI, Cloud-native infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, software architecture, distributed systems, MLOps/LLMOps, Google Cloud Platform (GCP), Infrastructure as Code (Terraform), containerization (Docker, Kubernetes)
Preferred skills
Vertex AI, Generative AI applications, RAG solutions, LLM integration, TensorFlow, PyTorch, Scikit-learn
Technologies
Google Cloud Platform, Terraform, Docker, Kubernetes, Vertex AI, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Design and develop production-grade AI solutions; translate business requirements into scalable applications; evolve tooling and infrastructure for AI at scale; drive MLOps and LLMOps practices including CI/CD and observability; contribute to cloud-native development and architecture decisions
Seniority
Senior, hands-on IC
