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 MLOps/LLMOps Specialist
Builds
Scalable, production-grade AI systems and automated model deployment workflows
Domain
Artificial Intelligence, Generative AI, Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps & LLMOps workflows, Cloud platforms (AWS, GCP, Azure), Containerization (Docker, Kubernetes), CI/CD pipelines, Model serving frameworks, Data pipeline orchestration, Performance optimization, Security & governance, Python programming
Preferred skills
Experience with Generative AI technologies, Hardware acceleration (GPUs, TPUs)
Technologies
Kubeflow, Airflow, MLflow, Jenkins, GitLab CI, Terraform, Ansible, TensorFlow, PyTorch, Hugging Face, Prometheus, Grafana, Apache Kafka, Apache Beam
Responsibilities
Lead design and implementation of end-to-end MLOps and LLMOps pipelines from development to production; Develop automation for model deployment and management; 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 model performance and health; Optimize performance of deployed models focusing on cost, speed, and accuracy; Maintain version control, governance, and model lifecycle management.
Seniority
Senior, hands-on IC
