We are TBC Uzbekistan, the digital financial services ecosystem powering some of the country’s most
innovative financial experiences. United by a mission of making people’s lives easier through
innovative financial products, we are building one of the largest digital financial ecosystems in
Central Asia. With a 4,000+ strong team, representing 28+ nationalities, we reach over 22 million
users with our products and services. Our ecosystem provides a leading digital banking offering in
the region and includes TBC Bank Uzbekistan, one of the country’s largest digital banks; TBC Business
– empowering entrepreneurs and SMEs; payme, one of Uzbekistan’s most popular payment apps;
TBC Nasiya, a fast-growing credit installment business; BILLZ, a retail platform for SMEs and TBC
Sug‘urta, a new generation of digital insurance.
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
• 100% 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
