C

Cisco

Makes networking gear and security software

Machine Learning Engineering Technical Leader

Applied Machine LearningUpdated on Nov 12
Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

  • Strong backend development experience in Python or Java.
  • Experience building API-driven and event-driven services for AI inference, agent orchestration, tool invocation, and data pipelines.
  • Hands-on experience with Generative AI and Large Language Models (LLMs).
  • Experience with agentic AI systems and agent orchestration frameworks such as LangGraph.
  • Strong experience with Kubernetes and containers, including deploying and scaling ML training and inference workloads across CPU and GPU environments.
  • Solid background in DevOps/MLOps and CI/CD, including automated training, evaluation, and model promotion pipelines.
  • Experience with source control and CI/CD tools such as Git, Jenkins, ArgoCD, or similar.
  • Hands-on experience with AWS, GCP, or Azure.
  • Experience designing and operating high-performance AI/ML systems.

Responsibilities

  • Partner with engineering, product, and data science teams to convert requirements into prototypes and production-ready AI systems.
  • Build, deploy, and scale AI/ML and Generative AI services, taking solutions from experimentation through full production.
  • Design and operate high-performance AI systems, optimizing for inference latency, throughput, and cost efficiency at scale.
  • Drive adoption of agentic AI architectures, LLM-powered features, and modern ML platform capabilities.
  • Proactively identify innovation opportunities, explore emerging AI/ML approaches, and turn them into concrete technical proposals.
  • Stay current with AI/ML advancements and apply relevant innovations to active initiatives.
  • Influence system architecture and guide engineering best practices for ML platforms and cloud-native AI systems.

Desired Qualifications

  • Proven technical leadership, with experience influencing system architecture and mentoring engineers on ML platforms and cloud-native best practices.
  • Strong systems-thinking ability to balance model quality, scalability, reliability, latency, and cost in real-world AI deployments.
  • Demonstrated ability to identify and drive adoption of new AI/ML approaches and translate them into scalable production solutions.
  • Deep interest in staying at the forefront of AI/ML and Generative AI advancements.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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