Data Engineer/ MLOpsE

Bell Integrator

Bell Integrator - ML developer, Middle level. Format: office work; city ​​- Moscow. The salary is not specified in the vacancy - it will be discussed during the interview. Bell Integrator is a major system integrator in the country. We are an accredited IT company. Currently, we have more than 2,500 high-quality analysts, project managers, developers, testers and support specialists for large information systems working with us. Bell Integrator actively implements projects throughout Russia; our customers include the country's leading backbone financial, telecom and retail companies. The central office of Bell Integrator is located in Moscow, with representative offices in St. Petersburg, Nizhny Novgorod, Penza, Saratov, Ufa, Barnaul, Minsk (Belarus). PROJECT: in the banking sector. The team is responsible for AI business initiatives in the global markets area. We provide corporate and retail clients with a wide range of products and services in the financial markets. Key business areas: trading operations with securities, derivatives, and currency conversion operations in the foreign exchange market. Our team addresses a wide range of Data Science tasks using current ML/DL algorithms and tools: from boosting and model ensembles to large language models (LLM). We help businesses increase profitability through machine learning models, for which we develop an analytical Data platform and fill it with various data about our products, clients, and external events. We are looking for a talented specialist for the position of Data Engineer / MLOps Engineer to expand our team. WHAT WE EXPECT FROM THE CANDIDATE: - Understanding the basics of cloud technologies and virtualization and containerization technologies; - Experience with the Hadoop ecosystem (HDFS, Hive, Spark, etc.); - Experience in industrial Python development. - Experience with ETL (Airflow, etc.); - Experience with CI/CD solutions based on Jenkins and Bitbucket / Git. WILL BE A PLUS: - Experience working with container orchestration platforms K8s, OpenShift; - Experience in implementing DS models in the industrial framework; - Experience working with Kafka; - Experience with popular RDBMS (Greenplum, Teradata, Oracle, PostgreSQL); - Understanding the principles of building data warehouses (DWH); - Knowledge in RL and Graph Neural Networks; - Excellent knowledge in the field of classical ML and DL. WHAT TO DO: - Development, support, and optimization of the team's ETL processes on the bank's platforms; - Implementation of developed DS models in the industrial environment (MLOps); - Support for the industrial operation of developed solutions. WE OFFER: - Opportunity to participate in interesting projects. - Opportunity for professional and career growth in the company. - Experience working in a team of professionals. - Special rates for employees in sports clubs and language courses, etc. - Office/hybrid work format in Moscow. Source: Habr Career, published 08/09/2026. The response is on the original page.

ML разработчик · Middle · Python · Apache Hadoop · DWH · Apache Airflow · Apache Spark · Greenplum · ETL · CI/CD · Москва

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