DevOps Engineer

Experience Required:** 5-7 years

We are looking for an experienced Devops Engineer to join our team and help streamline and scale our machine learning workflows.

5-7

**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