Младший инженер MLOps

О роли

İş haqqında məlumat

We are seeking a Junior MLOps Engineer to design, build, and maintain the infrastructure and tools that enable our data science and machine learning teams to develop, deploy, and monitor production ML systems at scale. You will bridge the gap between data science and operations, ensuring reliable, efficient, and reproducible ML workflows.

Key Responsibilities:

ML Pipeline & Automation:

Create CI/CD pipelines for ML model training, validation, and deployment
Implement automated model retraining and versioning systems
Build orchestration workflows for data processing and model training
Develop automated testing frameworks for ML models and pipelines

Monitoring & Operations:

Implement model monitoring systems for performance, drift, and data quality
Set up logging, alerting, and observability for ML systems
Establish model governance and compliance tracking
Create dashboards for model performance and infrastructure metrics
Develop incident response procedures for production ML systems

Collaboration & Best Practices:

Partner with data scientists and AI engineers to productionize ML models
Establish MLOps best practices and standards across teams
Provide technical guidance on deployment architecture
Document processes, systems, and runbooks

We offer:

5/2, 09.00-18.00/ 08:00-17:00;
Meal allowance;
Annual performance bonuses;
Corporate health program: VIP voluntary insurance and special discounts for gyms;
Access to Digital Learning Platforms

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.

İş haqqında məlumat

Key Responsibilities:

ML Pipeline & Automation:

Create CI/CD pipelines for ML model training, validation, and deployment
Implement automated model retraining and versioning systems
Build orchestration workflows for data processing and model training
Develop automated testing frameworks for ML models and pipelines

Monitoring & Operations:

Implement model monitoring systems for performance, drift, and data quality
Set up logging, alerting, and observability for ML systems
Establish model governance and compliance tracking
Create dashboards for model performance and infrastructure metrics
Develop incident response procedures for production ML systems

Collaboration & Best Practices:

Partner with data scientists and AI engineers to productionize ML models
Establish MLOps best practices and standards across teams
Provide technical guidance on deployment architecture
Document processes, systems, and runbooks

We offer:

5/2, 09.00-18.00/ 08:00-17:00;
Meal allowance;
Annual performance bonuses;
Corporate health program: VIP voluntary insurance and special discounts for gyms;
Access to Digital Learning Platforms

Note: Only candidates who meet the requirements of the vacancy will be contacted for the next stage.

Локация

Bakı

Опыт

Junior

Занятость

Полная занятость

Зарплата

Не указана

Опубликовано

14 августа 2026

О компании

SOCAR Tech

İnformasiya və kommunikasiya, Proqram təminatı və İT xidmətləri · Bakı

Все вакансии SOCAR Tech

Навыки и технологии

Automation Automated Testing Model Monitoring Documentation CI/CD Pipeline Model Validation Model Deployment Logging Alerting Observability Model governance Dashboard Creation Incident Response Technical Guidance

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Младший инженер MLOps

О роли

İş haqqında məlumat

İş haqqında məlumat

О компании

Навыки и технологии

Ваш отклик

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