AI Operations Engineer

1 week ago

Hyderabad India BukuWarung Full time

Job Description About BukuWarung BukuWarung's mission is to empower 60 million MSMEs in Indonesia to become financially aware and manage their businesses more effectively through technology from bookkeeping and digital payments to AI-driven operations. As we enter our next growth phase, we're expanding our AI Platform & Operations function to build scalable, intelligent systems that accelerate product development and automate operations. Role Overview We're looking for an AI Engineer who can bridge AI product development and infrastructure designing, deploying, and maintaining production-grade AI systems that power internal tools and core business operations. Key Responsibilities - Design, train, and deploy ML/LLM models for use cases like anomaly detection, forecasting, and conversational AI. - Build modular APIs, pipelines, and microservices for inference and automation. - Maintain scalable ML infrastructure, CI/CD pipelines, and observability for model performance. - Automate model retraining, deployment, and validation using AIOps practices. - Develop data pipelines, manage feature stores, and support RAG-based systems. - Collaborate with engineers and product teams to translate business needs into reliable AI solutions. - Contribute to MLOps standards, documentation, and governance. Qualifications - Bachelor's or Master's in Computer Science, Engineering, or related field. And willing to relocate to Indonesia if needed. - 5+ years of experience in backend or ML engineering - Strong Python skills (FastAPI, Flask) and microservice architecture knowledge - Hands-on experience deploying and monitoring ML/LLM models in production - Proficiency with ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain) - Familiar with infrastructure tools (Docker, Kubernetes, Terraform, Airflow) and cloud platforms (GCP/AWS/Azure) - Understanding of observability (Prometheus, Grafana, ELK, OpenTelemetry) and vector databases (Pinecone, Weaviate, FAISS) - Experience managing GPU workloads and optimizing cost

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