▷ (Only 24h Left) DevOps Engineer

4 days ago


Hyderabad, India Edvak EHR Full time

Experience Required:** 5-7 years **Job Description:** We are looking for an experienced Devops Engineer to join our team and help streamline and scale our machine learning workflows. The ideal candidate will have 5-7 years of hands-on experience in deploying, monitoring, and maintaining machine learning models in production environments. **Key Responsibilities:** - Design, develop, and maintain scalable and automated Devops and Machine learning CICD pipelines for build, deploying and monitoring infrastructure and ML models. - Implement best practices for CI/CD in Java/Node/Python Build and Deployment Pipelines and Knowledge in machine learning pipelines - Manage model versioning, lifecycle management, and monitoring of models post-deployment. - Collaborate with data scientists to ensure models are production-ready, focusing on scalability, security, and performance. - Automate data pre-processing, feature engineering, model training, and model evaluation workflows. - Monitor the health and performance of models in production and optimize for cost-efficiency and scalability. - Develop and maintain infrastructure for managing large-scale machine learning workflows using cloud platforms (AWS, Azure, GCP). - Troubleshoot issues and optimize model deployment infrastructure to ensure high availability and performance. - Work closely with DevOps to build infrastructure-as-code solutions for managing cloud resources. - Maintain proper documentation of MLOps processes, tools, and frameworks. *Tech Stack* - Experience with cloud platforms such as **AWS**, **Azure**, or **GCP**. - Strong programming skills in **Python** and **Pyspark** - Knowledge of **CI/CD** pipelines (preferably GIT LAB) and infrastructure-as-code tools such as **Terraform**, **CloudFormation** - Knowledge of containerization technologies like **Docker** and orchestration using **Kubernetes**. - Knowledge on *CPU, GPU* based deployments - Experience with monitoring and logging tools mainly *DataDog* - Familiarity with **data pipelines** and **ETL frameworks** - Strong understanding of security and compliance aspects related to machine learning in production. - Experience in code repos like *Bitbucket* , GitLab, GitHub



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