MLOps Engineer

Hybrid
English
Banking
Regular/Senior
Agile/Scrum

Technologies

Krakow

19 320 - 26 040 zł B2B

Dodaj do koszyka POLEĆ KANDYDATA

Join us, and make an impact in a global tech environment!

Krakow-based opportunity with the possibility to work 80% remotely!

As a MLOps Engineer, you will be working for our client, a global financial institution. The client requires a skilled engineer to deploy and manage machine learning models using Google Cloud’s Vertex AI. Your responsibilities include collaborating closely with data engineering and software development teams to ensure efficient deployment and operation of data processing and analytics systems in production environments.

Your main responsibilities:

Deploying and managing machine learning models using Google Cloud’s Vertex AI
Collaborating with data engineering and software development teams to ensure cost-effective and efficient deployment of data processing and analytics systems
Developing and maintaining automated pipelines for model training, testing, and deployment
Implementing version control and continuous integration/continuous deployment (CI/CD) processes for machine learning models
Collaborating with DevOps teams to ensure the scalability and reliability of machine learning infrastructure
Optimizing and monitoring model performance in production
Implementing monitoring solutions to track model performance and data drift
Responding to and troubleshooting issues related to deployed machine learning models
Ensuring that machine learning operations comply with security and regulatory standards
Implementing security measures to protect sensitive data used in machine learning models
Documenting MLOps processes, configurations, and best practices
Communicating effectively with cross-functional teams, including compliance analytics, software engineers, and stakeholders

You’re ideal for this role if you have:

Experience deploying and managing machine learning models using Google Cloud’s Vertex AI
Proficiency in developing and maintaining automated pipelines for model training, testing, and deployment
Knowledge of version control and CI/CD processes for machine learning models
Collaboration skills to work effectively with DevOps teams for infrastructure scalability and reliability
Strong problem-solving abilities for monitoring and optimizing model performance in production

It is a strong plus if you have:

Familiarity with implementing monitoring solutions and troubleshooting issues related to deployed machine learning models

#GETREADY to meet with us!

We would like to meet you. If you are interested please apply and attach your CV in English or Polish, including a statement that you agree to our processing and storing of your personal data. You can always also apply by sending us an email at recruitment@itds.pl.

Internal number #5183