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DevOps AI/ML Engineer

DevOps AI/ML Engineer

Cisco

8 - 13 years

27 - 35 Lacs

bengaluru

Posted:-1 days ago| Platform:

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Skills Required

kubernetes continuous integration microsoft azure artificial intelligence gcp scikit-learn ci/cd adk mentoring redis containerization r tensorflow automation tools devops jenkins gitlab api aws devops

Work Mode

Work from Office

Job Type

Full Time

Job Description

Meet the team:

The Office of the CEO at Cisco is looking for a highly expert, innovative, and self-motivated DevOps AI/ML Engineer to join our Customers Insights & Action (CIA) organization. In this critical role, you will drive the development, deployment, and production readiness of scalable AI and machine learning models, with a particular focus on Agentic and Generative AI (GenAI) and predictive capabilities. This role requires a deep understanding of AI/ML principles, hands-on experience with relevant technologies, and the ability to work effectively individually in a remote environment as well as collaborate with teams cross-functionally.

Key Responsibilities:

As an AI/ML Engineer in CIA, you will:

Design, build, and deploy model AI and ML pipelines as well as orchestrating multi-agent systems with memory, reflection, and planning flow.
Architect Retrieval-Augmented Generation (RAG) systems integrated into agentic workflows and vector databases for embeddings and retrieval.
Build modular, maintainable software in Python, following full software lifecycle practices (design, coding, unit testing, CI/CD).
Work with FastAPI or equivalent frameworks to expose agent workflows via RESTful APIs.
Implement embedding layers and vector DB integrations (e.g., Milvus, Weaviate, Redis) for high-perf retrieval and similarity search.
Conduct rigorous unit tests and integration tests, owning test coverage and reliability for agent components.
Stay updated with the latest advancements in AI/ML technologies, mentor junior engineers, propose architectural improvements, and participate in code reviews

Minimum Qualifications

Bachelors degree in Computer Science, Artificial Intelligence, Machine Learning (or related field /industry) + 8 years of DevOps experience, Masters + 6 years of related experience, or PhD + 3 years of related experience.
Expert-level proficiency in Python, R, or Java and as well as API frameworks (e.g. FastAPI) and AI/ML frameworks and libraries (e.g., Scikit-learn, PyTorch, TensorFlow, etc.)
Understanding of Agentic AI conceptsautonomy, planning loops, memory, tool use in LLM-driven agents
Hands-on experience with ADK, LangChain, LangGraph, LangSmith, Langgraph Studio (for graph workflows, long-term memory, stateful agents)
Strong understanding of CI/CD pipelines and automation tools.
Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Proven knowledge of ML lifecycle management and model versioning.
Strong problem-solving skills with the ability to think critically and creatively.

Preferred Qualifications

Experience deploying Google Cloud Services (especially Vertex AI Agents) in production agent environments
Familiarity with feature stores, vector databases, or data observability platforms
Excellent communication, collaboration, and mentoring skills.
Deep expertise in CI/CD tooling and practices, including hands-on experience with systems like Jenkins, GitLab, ArgoCD, or similar.
Strong proficiency in Kubernetes, Docker, and cloud-native patterns in AWS, Azure, or GCP.
Excellent verbal and written communication skills to effectively collaborate and mentor remote team members as well as present findings.

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DevOps AI/ML Engineer