Ml Engineer

TL;DR

Ml Engineer (AI Engineering): Design, develop, and deploy machine learning models and pipelines to solve business problems with an accent on scalable AI solutions, MLOps, and cloud platforms. Focus on building and optimizing data pipelines, model-serving frameworks, and ensuring model performance and reliability in production.

Location: Yerevan

Company

hirify.global is a product company with a dedicated AI Center of Excellence department focused on innovative AI solutions.

What you will do

• Design, develop, and deploy machine learning models and pipelines.
• Build and optimize scalable ETL pipelines and model-serving frameworks.
• Collaborate with technical and business stakeholders for seamless integration of ML models.
• Apply software engineering and MLOps principles to streamline model deployment and lifecycle management.
• Monitor, debug, and enhance model performance and reliability in production.
• Contribute to innovation by identifying opportunities to leverage machine learning.

Requirements

• Location: Must be based in Yerevan.
• Bachelor’s degree in computer science, engineering, statistics, mathematics, or related field.
• 3+ years of experience building and deploying ML models in production.
• Strong software engineering skills with Python, Git, and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, GCP, Azure) and large-scale data processing.
• Proficiency in deploying ML models using Docker, Kubernetes, and CI/CD pipelines.

Nice to have

• Experience in causal inference and designing experiments.