Senior Devops Engineer

Hello,

Edvak is a US-based SaaS company transforming the healthcare sector with our innovative AI solutions. We are dedicated to excellence, creativity, and innovation, delivering exceptional services to our clients. Our operations in India are based in the vibrant city of Hyderabad.

As we continue to expand, we are looking for a dynamic Content Strategist/Marketer to lead our content marketing efforts and drive Edvaks success in a competitive market.

Website: www.edvak.com

**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 containerisation 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

Note : We are looking for candidates who can join immediately or who are currently serving their notice period and available to join within the next 15 days.