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Machine Learning Engineer
Viva (Viva Armenia CJSC)
Armenia · On-siteSalary not disclosedfull-timeNewVerified recentlyStaff.am
An ML Engineer will support the Marketing Department by building, improving, and operationalizing Machine Learning models, scoring workflows, and model-powered APIs. The role will focus on the engineering side of ML projects, including model training, evaluation, deployment readiness, automation, CI/CD, containers, monitoring, and model lifecycle management.
Responsibilities
- Study the best foreign experience and modern approaches in Machine Learning engineering, MLOps, model deployment, and ML system design
- Develop, improve, and maintain Machine Learning models and model training workflows
- Build reusable ML pipelines for data preparation, training, validation, scoring, and retraining
- Develop batch scoring workflows and model-powered APIs when needed
- Support model evaluation, benchmarking, testing, and performance monitoring
- Support model lifecycle management, including experiment tracking, model versioning, model registry usage, reproducibility, and monitoring
- Package ML solutions for practical use and deployment readiness using Docker or similar containerization approaches
- Support CI/CD practices for ML projects to improve reliability, automation, and maintainability
- Support integration of ML outputs into applications, analytical tools, dashboards, reports, or business processes
- Implement code quality, testing, logging, documentation, and version control practices in ML projects
Languages
- Work format
- On-site
- Seniority
- Mid
- Posted
- 1 Oct 2026 (today)
- Last verified
- 1 Oct 2026
- Apply by
- 8 Oct 2026