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Mid-level AI role in a metro with broad LLM/ML requirements attracts many applicants.
Core ML/LLM skills are transferable but AIOps and network management requirements add domain specificity.
Multiple mandatory technical skills (LLMs, ML frameworks, cloud, microservices) but only 2+ years required.
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Design and develop AI-enabled applications for Ciena's Navigator Network Control Suite to enhance network performance, automation, and operational efficiency.
Integrate AIOps capabilities by collaborating with cross-functional teams and fine-tuning AI models including Generative AI, LLMs, classical ML, and agentic AI.
Analyze large datasets to extract actionable insights and participate in code reviews, testing, and deployment ensuring scalable, high-quality AI software solutions.
Bachelor’s degree in Artificial Intelligence, Computer Science, Engineering, or related field.
Minimum 2+ years’ experience developing AI software focused on AIOps or Data Science use cases.
Proficiency with LLMs, transformers, agentic frameworks, RAG techniques, and machine learning frameworks such as TensorFlow or PyTorch.
Experience with programming in Python, Java, or C++, along with familiarity with cloud platforms (AWS, Azure), containerization (Docker, Kubernetes), microservice architectures, and network management protocols.
Experienced AI developer specialized in AIOps and network performance applications, comfortable with deploying advanced AI techniques such as Generative AI and agentic frameworks.
Operates effectively within cross-functional teams to integrate AI solutions into established network control platforms like Navigator Suite.
Has strong technical expertise across AI/ML model fine-tuning, cloud-native development, microservices, and network protocol understanding, ensuring alignment with product and operational deployment needs.