Devops Engineer

Talent Hired-the Job Store

10 - 15 years

20 - 30 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

generative ai cloud python kubernetes golang docker gcp ci/cd aws devops azure devops

Work Mode

Work from Office

Job Type

Full Time

Job Description

DevOps Engineer with experience in Generative AI (GenAI)

Key Responsibilities:

Design, implement, and manage scalable cloud infrastructure for AI/ML and GenAI applications.
Automate and manage CI/CD pipelines for model training, evaluation, and deployment.
Build and maintain MLOps workflows including data ingestion, model versioning, and deployment pipelines.
Containerize AI/GenAI models using Docker, Kubernetes, or similar technologies.
Collaborate with data scientists and ML engineers to operationalize generative AI models (e.g., LLMs, diffusion models).
Optimize system performance and cost-efficiency for large-scale model training and inference.
Monitor and manage model serving endpoints, GPU utilization, and cloud resources.
Implement observability (logging, tracing, metrics) for AI/ML workloads.
Manage secure access, secrets, and compliance for AI infrastructure.
Evaluate and integrate tools such as MLflow, Weights & Biases, Hugging Face, or LangChain as needed.

Required Qualifications:

Experience in DevOps, MLOps, or Infrastructure Engineering.
Strong experience with CI/CD tools (GitLab CI, Jenkins, ArgoCD, etc.).
Proficiency in cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation).
Experience with container orchestration (Kubernetes, EKS/GKE/AKS).
Familiarity with AI/ML lifecycle management and tools (MLflow, Kubeflow, Airflow).
Hands-on experience with GenAI platforms and models (e.g., OpenAI, LLaMA, Stable Diffusion, Hugging Face Transformers).
Scripting/programming skills in Python, Bash, or similar languages.

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