Devops Engineer - MLOps - Azure Expert

We are looking for an experienced DevOps engineer who has experinecee or exposure to machine learning, especially NLP. We want you to build our MLOps tools and methodologies to help us combine Machine Learning and DevOps practices. The goal of MLOps is to automate and optimize the deployment and maintenance of ML systems in production.

You will:

- Create ML and dev pipelines - ETL, continuous integration and deployment (CI/CD)
-Define the model management system, technologies, and processes to manage model development, training, and deployment including hyper-parameter configuration and optimization
- Create scalable systems for efficient monitoring, tracing, profiling, and debugging
- Diagnose and support complex systems using infrastructure as code. (IAC)

Requirements:
- 5+ years of industry experience
- 2+ years of experience in developing continuous integration and deployment (CI/CD) pipelines with Azure
- Experience with designing, building, and deploying MLOps pipelines
- Proficient knowledge of git, Docker and containers, Kubernetes, ML
- Proficiency in distributed storage and processing of big data with Cosmos DB
- Experience with Hive
- Experience with database management systems and tools including but not limited to Cassandra, MangoDB, SQL
- Strong programming skills in Python, C or C++
- Experience with deep learning frameworks (such as TensorFlow and PyTorch)

Further requirements and info will be provided to the best candidate.

* One and done technical interview