Senior Administrator - Windows Azure IaaS, Terraform

Job Summary

Job Summary : • Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.

Job Description : • Experience deploying ML models at scale using serverless or cloud-based solutions.\\r\\n• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).\\r\\n• Knowledge of software development best practices (Git, CI/CD, automated testing).\\r\\n

Key Responsibilities

Job Responsibilities : • Develop and deploy end-to-end microservices-based solutions for batch and real-time algorithms, including monitoring, logging, automated testing, and performance testing.

• Design, implement, and optimize MLOps pipelines using tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
• Collaborate with Data Scientists to enhance the ML model development process and ensure performance improvements.
• Ensure scalability, maintainability, and robustness of deployed machine learning models.
• Monitor and troubleshoot ML model performance and infrastructure issues in production (experience with Prometheus and Grafana is

Skill Requirements

• Proficiency in Python and experience with ML frameworks like Tensor Flow, Py Torch, and scikit-learn.
• Strong understanding of MLOps best practices and tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
• Experience working with cloud platforms, especially GCP.
• Knowledge of data processing, ETL, and feature engineering techniques.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Excellent communication and interpersonal skills.

Other Requirements

• Experience deploying ML models at scale using serverless or cloud-based solutions.
• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly).
• Knowledge of software development best practices (Git, CI/CD, automated testing).