MLOps специалист

15 Июля

Партнерские Вакансии

Компания "TBC OPERATIONS"

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