Machine Learning Engineering Technical Leader – GenAI & Agentic AI
Cisco · Hyderabad
| Company | Cisco |
|---|---|
| Role | Machine Learning Engineering Technical Leader – GenAI & Agentic AI |
| Location | Hyderabad |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
Cisco is hiring a Machine Learning Engineering Technical Leader in Hyderabad. The team builds algorithms and neural networks for language, machine perception and generative AI used in Cisco products.
You will take AI and GenAI services from prototype to production, tune them for latency, throughput and cost, and drive agentic AI and LLM features. You will also guide architecture and best practices for ML platforms. The role is in the office.
Eligibility
- Strong backend development in Python or Java
- API and event-driven services for inference and agents
- Hands-on GenAI, LLMs and frameworks such as LangGraph
- Kubernetes for ML training and inference on CPU and GPU
- MLOps, CI/CD (Git, Jenkins, Argo CD) and a public cloud
Skills required
What you will do
- Turn requirements into production AI systems
- Build and scale GenAI and ML services
- Tune inference for latency, throughput and cost
- Drive agentic AI and LLM features
- Guide ML platform architecture and mentor engineers
How to apply
- Open the official Cisco job page with the Apply button and submit your application there.
- Tailor your resume to AI services you took to production, their scale and how you cut latency or cost.
Before the interview, prepare:
- Serving LLMs on Kubernetes with GPUs
- LangGraph agents: state, tools and retries
- Model promotion pipelines with evaluation gates
- Trading off quality, latency and cost
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