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Overview
We are looking for a talented MLOps Engineer/Solution Architect to design and develop integration solutions for a major bank in Russia, focusing on AI initiatives and Data Science tasks. We are looking for a talented MLOps Engineer/Solution Architect to design and develop integration solutions for a major bank in Russia. The team is responsible for AI initiatives in the global markets sector, solving Data Science tasks using ML/DL algorithms β from boosting and ensemble models to large language models (LLM).
Responsibilities
- β’Collaborate with Data Scientists and Product Owners to identify requirements for architectural/integration solutions for developed applications.
- β’Decompose and document requirements.
- β’Work with corporate architects, cybersecurity experts, and support teams to select technical components and design integration solutions.
- β’Develop integration solutions and code templates for scaling and standardizing the development process and production deployment.
- β’Design and develop the conceptual architecture of the platform and application infrastructure.
Requirements
- β’3-4 years of experience, industrial development experience in Python.
- β’Experience with popular RDBMS (Greenplum, Teradata, Oracle, PostgreSQL).
- β’Experience integrating products from the Hadoop ecosystem (HDFS, Hive, Spark).
- β’Experience with synchronous and asynchronous service integration and message brokers (Kafka, RabbitMQ).
- β’Experience designing CI/CD solutions based on Jenkins and Bitbucket/Git.
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