Job Details

Machine Learning
Mid-level
Hybrid
Full time
Apr 29

MLOps Specialist

MLOps Specialist at Ivi (Online Cinema). Hybrid format, Moscow. Responsibilities include service support, ML model deployment and operation, CI/CD integration, data pipelines, and working with large datasets. Requirements include understanding ML algorithms, virtualization, CI/CD systems, Kubernetes, Python, Linux administration, and SQL.

The role involves supporting services from development to operation, refining and developing server and application configuration scenarios, planning and participating in refactoring processes, infrastructure, and applications. Key responsibilities include developing and managing the deployment and operation processes for machine learning models, administering applications, and preparing documentation. Setting up infrastructure for launching, monitoring, and automating the ML model lifecycle, integrating ML models into CI/CD processes with containerization (Docker, Kubernetes), and developing/optimizing data and ML pipelines for production deployment are crucial. Regular audits of the technology stack, working with large volumes of data (cleaning, transforming, preprocessing), and handling high-load computations and data streams (batches and streamings) are also part of the role.

Understanding of core machine learning algorithms and statistics. Expertise in virtualization (GPU in the background). Ability to work with high-load systems and large volumes of data. Experience with OpenSource or cloud ML platforms is a plus (Kubeflow, MLFlow, AWS, GCloud, etc.). Positive and extensive experience with CI/CD systems (GitLab, Jenkins). Proficient in Kubernetes. Experience with scripting languages (shell, Python). Experience in Linux and web application administration. Understanding of TCP/IP network technologies. Experience with version control systems (Git). Experience with configuration management systems. Experience with machine learning technologies and their integration. Knowledge of SQL and experience in developing and operating data preparation pipelines will be a plus.

Official employment and competitive salary. Accredited IT company! Hybrid work format - near Dmitrovskaya, Savelovskaya metro stations, close to Flacon and Khlebozavod. Provision of modern work equipment, an additional monitor, and more for comfortable work. Flexible start of the workday by agreement with the manager. Health care: access to consultations with a psychologist, lawyer, financial consultant, and healthy lifestyle specialist. After the probationary period: Voluntary Medical Insurance (including dental) and international travel insurance. Support in knowledge and idea exchange: we encourage speaking at meetups and help with report preparation. Free subscription to the corporate discount and offers service BestBenefits, as well as access to the online library of the MIF publishing house. Special offer for Ivi subscription.

Russia
AWS
Kubernetes
Kubeflow
GCloud
Linux
CI/CD
Python
SQL
Docker
MLflow
MLOps
Machine Learning
Jenkins
GitLab

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