Machine Learning Engineer
Core
Design and develop transformative AI capabilities and AI-driven solutions (LLMs, SLMs, agents) to redefine customer interactions and operational efficiency.
Role type
Senior Machine Learning Engineer (Generative AI & LLMs)
Builds
Scalable, responsible, and cutting-edge AI models and AI agents for delivery intelligence, network automation, and edge intelligence.
Domain
Telecommunications / Network Automation / Generative AI
Deliverable
production ML models
Required skills
Python, Java, C++, Large Language Models (LLMs), Small Language Models (SLMs), Natural Language Processing (NLP), Generative AI, Transformer architecture, Reinforcement Learning, Model optimization, TensorFlow, PyTorch, Scikit-Learn, AI Agents, Agentic workflows
Preferred skills
Small Language Model (SLM) development, Cisco networking and security technologies, Network automation, AI-based anomaly detection, AI-driven DevOps automation, Edge computing, Cloud AI platforms (AWS SageMaker, Google Cloud AI Platform, Azure ML)
Responsibilities
Design and develop AI–ML based services; Analyze data, develop, validate, and deploy machine learning models; Build and fine-tune model architectures for natural language and perception-based tasks; Work with techniques such as transformer architecture, distillation, and reinforcement learning; Support the training and fine-tuning of Large and Small Language Models; Collaborate on the development and deployment of AI agents and applications; Stay current with emerging AI technologies and research.
Seniority
Senior, hands-on IC