DevOps Engineer

2 weeks ago

Hyderabad, Telangana, India Edvak EHR Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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