
DevOps/MLOps Engineer
2 days ago
Description
We are looking for a skilled DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have hands-on experience in AWS Cloud, scripting, and automation, along with proven skills in deploying and managing machine learning pipelines in production.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for ML model training, testing, and deployment.
- Manage containerization & orchestration using Docker and Kubernetes.
- Automate infrastructure provisioning using Implement and manage MLOps tools (Kubeflow, MLflow, Airflow, SageMaker, etc.).
- Ensure scalability, reliability, and monitoring of ML/AI production systems.
- Work closely with data scientists and ML engineers to operationalize ML models.
- Develop automation scripts in Python/Bash to streamline workflows.
- Implement and manage AWS cloud services (EC2, S3, EKS/ECS, Lambda, RDS, IAM, Secrets Manager).
- Ensure compliance with security, cost optimization, and performance best practices.
Required Skills & Experience
- 7+ years of experience as a DevOps/MLOps Engineer.
- Strong hands-on expertise in AWS Cloud (compute, storage, serverless, IAM).
- Solid knowledge of CI/CD tools (GitLab CI/CD, Jenkins, ArgoCD).
- Proficiency in Docker & Kubernetes for container orchestration.
- Experience with MLOps tools : Kubeflow, MLflow, Airflow, SageMaker, or similar.
- Strong scripting/programming skills in Python and Bash.
- Experience with monitoring/logging tools (Prometheus, Grafana, ELK stack).
- Familiarity with data version control (DVC, Git) and feature stores is a plus.
- Excellent troubleshooting and problem-solving skills.
Good To Have
- Experience with multi-cloud (GCP/Azure ML).
- Familiarity with TorchServe, BentoML, KFServing for model serving.
- Knowledge of security & compliance in ML pipelines.
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