Maaş göstərilməyib
ML modellərinin hazırlanması, yerləşdirilməsi və monitorinqi üçün infrastruktur və alətlər qurur və idarə edir.
Junior MLOps mühəndisi
Vakansiya haqqında
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
Xüsusi tələblər
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- Master's degree preferred but not required with sufficient practical experience
Experience:
- 1+ year working as ML/Software/DevOps Engineer
- Proven track record of building production ML systems at scale
Technical Skills:
- Intermediate proficiency in Python
- Good understanding of containerization (Docker, Kubernetes)
- Some experience with CI/CD tools (Jenkins/GitLab CI/GitHub Actions/etc.)
- Some experience with workflow orchestration (Airflow/Kubeflow/Prefect, etc.)
Core Competencies:
- Basic understanding of ML lifecycle and model development processes
- Linux/Unix systems administration skills
- Some experience with version control systems (Git) and branching strategies
- Knowledge of microservices architecture and API design
Soft Skills:
- Strong problem-solving and debugging abilities
- Excellent communication skills with both technical and non-technical stakeholders
- Ability to work independently and manage multiple priorities
- Collaborative mindset with emphasis on enabling others
- Adaptability to rapidly changing technology landscape
- Pragmatic approach to balancing innovation with reliability
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
Xüsusi tələblər
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- Master's degree preferred but not required with sufficient practical experience
Experience:
- 1+ year working as ML/Software/DevOps Engineer
- Proven track record of building production ML systems at scale
Technical Skills:
- Intermediate proficiency in Python
- Good understanding of containerization (Docker, Kubernetes)
- Some experience with CI/CD tools (Jenkins/GitLab CI/GitHub Actions/etc.)
- Some experience with workflow orchestration (Airflow/Kubeflow/Prefect, etc.)
Core Competencies:
- Basic understanding of ML lifecycle and model development processes
- Linux/Unix systems administration skills
- Some experience with version control systems (Git) and branching strategies
- Knowledge of microservices architecture and API design
Soft Skills:
- Strong problem-solving and debugging abilities
- Excellent communication skills with both technical and non-technical stakeholders
- Ability to work independently and manage multiple priorities
- Collaborative mindset with emphasis on enabling others
- Adaptability to rapidly changing technology landscape
- Pragmatic approach to balancing innovation with reliability
Yerləşmə
Bakı
Təcrübə
Junior
Məşğulluq
Tam ştat
Əməkhaqqı
Göstərilməyib
Yerləşdirilib
7 avqust 2026
Şirkət haqqında
Caspian Innovation Center
İnformasiya və kommunikasiya, Proqram təminatı və İT xidmətləri · Baku
Caspian Innovation Center şirkəti 2017-ci ildə Azərbaycanın qlobal brendi olan SOCAR və dünyanın nəhəng İT şirkətlərindən biri olan IBM tərəfindən əsası qoyulmuş birgə müəssisədir.
Caspian Innovation Center — bütün vakansiyalarMüraciətin
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