AI Engineer

2.9

Job Type   /   Job Level

Full-time   /   Others/Any

Company Location

Indonesia

Technical Skills

��Strong proficiency in Python + ML ecosystem (PyTorch, TensorFlow, scikit?learn, ��Hugging Face, LangChain).
��Proven experience deploying production-grade AI/ML systems, as reflected in ��organizational resumes (e.g., computer vision pipelines, real-time inference ��services).
��Hands-on experience with LLMs, RAG architecture, vector databases (FAISS, ��Qdrant, Azure AI Search).
��Solid understanding of software engineering fundamentals: API development, ��microservices, distributed systems.
��Experience with Docker and Kubernetes, widely used in production deployments ��across internal candidates.
��Proficiency with cloud platforms (GCP preferred; AWS/Azure also welcome).
��Strong grasp of CI/CD, automated testing, model lifecycle management, and ��observability.
��Familiarity with real-time processing (streaming, queues, event-driven ��architecture).

Soft ��Skills

Fast ��learner with ability to adopt new AI frameworks and technologies quickly.
��Strong problem-solving mindset with practical approach to converting POC into ��production systems.
��Clear communicator who can explain technical concepts to a variety of ��stakeholders.

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