About the job
Core
Designing and building the company's internal AI platform, including model training/deployment pipelines, AI Agent services, and GPU infrastructure.
Role type
Senior AI Platform Engineer / MLOps Engineer
Builds
Internal AI platform, AI Agent services, automated ML pipelines, GPU infrastructure
Domain
Artificial Intelligence, Machine Learning, Manufacturing Industry
Deliverable
production ML models | infrastructure | product features
Required skills
Machine learning model development, Deep learning, AI service/data pipeline construction, Container-based development (Docker), REST API integration, Business requirement analysis
Preferred skills
MLOps tools (Kubernetes, Airflow, MLflow), Manufacturing data analysis, LLM-based services (RAG, Agents), On-premise/GPU server operations, Internal AI platform construction
Technologies
Docker, Kubernetes, Airflow, MLflow, GPU servers, REST API
Responsibilities
Designing AI platform architecture, Building automated pipelines for model training and deployment, Developing AI Agent services, Configuring and operating GPU servers, Monitoring and optimizing AI service performance, Defining technical solutions for business AI problems
Seniority
Mid-Senior, hands-on IC