DevOps/MLOps Specialist
Core
Design and implement end-to-end MLOps and LLMOps pipelines for deploying, managing, and optimizing large language models (LLMs) and machine learning systems in cloud environments.
Role type
Senior IC MLOps/LLMOps Specialist
Builds
Production-grade AI systems, scalable ML/LLM pipelines, and automated deployment workflows
Domain
Artificial Intelligence, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps & LLMOps workflows, Cloud platform deployment (AWS/GCP/Azure), Containerization (Docker/Kubernetes), CI/CD pipeline development, Model serving frameworks, Data pipeline orchestration, Performance optimization, Security & governance for AI
Preferred skills
Experience with Generative AI technologies, Hardware acceleration (GPUs/TPUs)
Technologies
Kubeflow, Airflow, MLflow, Jenkins, GitLab CI, CircleCI, Terraform, Ansible, TensorFlow Serving, TorchServe, Prometheus, Grafana, TensorFlow, PyTorch, Hugging Face, Apache Kafka, Apache Beam, Python
Responsibilities
Lead design and implementation of end-to-end MLOps and LLMOps pipelines from development to production monitoring, Develop automation for model deployment ensuring scalability and cost-effectiveness, Implement and manage CI/CD pipelines for ML and LLM models, Build data pipelines and workflows for training and serving models, Create robust monitoring systems for tracking model performance and diagnosing issues, Optimize performance of deployed models focusing on cost, speed, and accuracy
Seniority
Senior, hands-on IC
