PharynxAI
Website:
pharynxai.com
Job details:
Experience: 2–3 Years
Location: Noida125
Emil id to apply : Hrd@pharynxai.com
Job Overview:We are looking for a skilled DevOps / MLOps Engineer with 2–3 years of experience to support the deployment, monitoring, and scaling of machine learning models and cloud-based applications. The ideal candidate should have hands-on experience in CI/CD, cloud infrastructure, and ML model lifecycle management.
Key Responsibilities:- Design, implement, and manage CI/CD pipelines for application and ML model deployment
- Deploy, monitor, and maintain machine learning models in production
- Collaborate with data scientists and developers to streamline model training, testing, and deployment workflows
- Manage and optimize cloud infrastructure (AWS/GCP/Azure)
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
- Ensure system reliability, scalability, and performance
- Monitor logs, metrics, and system health using observability tools
- Implement version control for datasets, models, and pipelines
- Troubleshoot production issues and ensure quick resolution
Required Skills & Qualifications:- 2–3 years of experience in DevOps / MLOps / Cloud Engineering
- Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI)
- Experience with cloud platforms (AWS, GCP, or Azure)
- Hands-on experience with Docker and Kubernetes
- Understanding of ML lifecycle and deployment workflows
- Experience with Python and scripting (Bash/Shell)
- Familiarity with version control (Git)
- Knowledge of monitoring tools (Prometheus, Grafana, ELK, etc.)
Click on Apply to know more.