Position: Senior MLOps Engineer

Location: Jaipur

Work Mode: On-site

Experience: 7+ Years

Key Responsibilities

- Build and manage end-to-end ML pipelines.

- Deploy ML models using CI/CD pipelines.

- Develop scalable MLOps infrastructure on AWS, Azure, or GCP.

- Automate model training, testing, versioning, and deployment.

- Monitor model performance, drift, and data quality.

- Collaborate with Data Science and Engineering teams.

- Manage Docker and Kubernetes-based deployments.

- Optimize and troubleshoot production ML systems.

Required Skills

- 7+ years of experience in MLOps/ML Engineering/DevOps.

- Robust Python programming skills.

- Experience with TensorFlow, PyTorch, or Scikit-learn.

- Hands-on experience with Docker and Kubernetes.

- Experience with AWS, Azure, or GCP.

- Knowledge of CI/CD tools (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).

- Experience with MLflow, Kubeflow, or Weights & Biases.

- Familiarity with ETL pipelines, APIs, Prometheus, Grafana, and ELK.

- Strong understanding of software engineering and system design.

📌 Senior MLOps Engineer (India)
🏢 Arting Digital Private
📍 India