Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing, building, and optimizing machine learning operations and scaling AI models from research to production with an accent on model deployment, monitoring, and lifecycle management across GCP infrastructure. Focus on automating workflows, improving model performance, and ensuring reliability for AI serving millions of players worldwide.

Location: Remote (Ukraine)

Company

hirify.global is a gaming company seeking a Machine Learning Engineer to scale AI models from research to production for real-money gaming.

What you will do

• Design, develop, and deploy machine learning models and solutions, leveraging tools like LangGraph and MLflow.
• Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real-time and batch processing.
• Develop and implement robust strategies for model monitoring and observability using Vertex AI Model Monitoring.
• Optimize ML model inference performance to improve latency and cost-efficiency of AI applications.
• Ensure the overall reliability, performance, and scalability of ML models and data infrastructure platform.
• Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI systems.

Requirements

• 1+ years of experience as an ML Engineer, with a focus on developing and deploying machine learning models in production environments.
• Strong experience in Google Cloud Platform (GCP), including BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub and Composer (Airflow).
• Solid grasp of containerization (Docker, Kubernetes) and experience with GKE.
• Experience building and deploying scalable data pipelines and machine learning models in production.
• Understanding of model monitoring, logging, and observability best practices for ML models.
• Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

Nice to have

• Familiarity with AI orchestration concepts using tools like LangGraph or LangChain.
• Experience working in gaming, real-time fraud detection, or AI personalization systems and Agentic workflows.