MLOps Engineer

Компания "testing"

TBC Bank Group PLC established Space International with the strategic aim of facilitating the group's global expansion efforts. In 2018, the team successfully introduced the pioneering neobank, Space, in Georgia. Building upon this success, subsequent efforts were directed towards the creation and launch of the fully digital bank in Uzbekistan, TBC UZ, in 2020. In a significant move towards enhancing its foothold in the Uzbek market, the group acquired Payme, a prominent local payments provider and esteemed brand among the Uzbek populace, in 2023.

Presently, a dedicated team of 1,700 professionals representing 17 nationalities collaborates to advance TBC's international presence. Space International spearheads the provision of cutting-edge technologies and top-tier professional services, while the local teams at Payme and TBC Uzbekistan drive sustained growth and operational excellence.

We are looking for talented individuals with MLOps Engineer experience to join our team!

Responsibilities:

• Construct robust CI/CD pipelines for deploying data science models using tools like Jenkins, GitLab CI/CD, GitHub Actions, and Terraform.Implement and manage systems to monitor the performance of deployed models using technologies such as the ELK Stack, Prometheus, Grafana, and ClearML.
• Automate and optimize the MLOps lifecycle to enhance efficiency and effectiveness using tools like Kubeflow and Apache Airflow.
• Establish best practices for managing the lifecycle of machine learning models, focusing on version control, updates, and rollback strategies with tools such as MLFlow, DVC, and Git LFS.
• Ensure that our machine learning solutions are scalable and reliable, leveraging your knowledge of Kubernetes, Dask, and Apache Spark.
• Continuously evaluate and integrate new technologies and methodologies to stay at the forefront of MLOps trends, including tools like Prefect and Great Expectations.
• Implement effective solutions for model serving and deployment, ensuring that our machine learning models are accessible and performant in production environments.

Qualifications:

• Strong foundational knowledge in MLOps, machine learning, data engineering, or DevOps.
• Advanced proficiency with tools such as Git, GitHub Actions, Apache Airflow, Apache Spark, Kubernetes, and MLflow.
• Experience with Jenkins, GitLab CI/CD, Terraform, ELK Stack, Prometheus, Grafana, ClearML, Kubeflow, DVC, Git LFS, Dask, Prefect, and Great Expectations is highly desirable.
• Certification in relevant technologies or methodologies is a plus.
• Demonstrated ability to learn quickly, think analytically, and solve problems effectively.
• Excellent time management skills, with a proven ability to meet deadlines and handle responsibilities.

What We Offer:

• Full support and career-development resources to maximize your potential along our career journey
• Market competitive total compensation package\n100% company-paid for every employee’s medical insurance

Benefits and incentives to stay healthy and fit

• English language classes
• Possibility to be involved in an international project
• Junk Fridays, fruit days, terrace BBQs, and many more

Thank you for your interest in opportunities at JSC "Space International."

Открыть контакты работодателя

Зарегистрируйтесь или войдите, чтобы открыть контакты работодателя