Machine Learning Engineer
Machine Learning Engineer
🏢
Viva (Viva Armenia CJSC)
📍
Armenia · On-site
🕐
Full Time
About the role
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.
What you’ll do
🗂
• 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
What we’re looking for
🔎
• Degree in a technical related field; computer science, engineering, mathematics, or statistics background is a plus
• Good knowledge of SQL and data manipulation
• Good knowledge of Machine Learning algorithms and model evaluation methods
• Experience with API development using FastAPI, Flask, or similar frameworks would be a plus
• Practical understanding of Docker-based packaging and deployment of Python/ML solutions
• Understanding of CI/CD principles for ML or software projects
How to apply
🙋
Open on ITA Jobs and apply →
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