Machine Learning Engineer - Agentic Focus
@ High 5 Games

Hybrid
$120,000
Hybrid
Full Time
Posted 24 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXX******* @high5games.com
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Job Details

About the Role

We are looking for a Machine Learning Engineer - Agentic Focus to design, build, and optimize our machine learning operations. You will play a crucial role in scaling AI models from research to production on our Google Cloud Platform (GCP) infrastructure, supporting millions of players worldwide.

What You'll Do

  • Design, develop, and deploy machine learning models using LangGraph and MLflow.
  • Collaborate to build and maintain scalable data and feature pipelines with BigQuery, BigTable, Dataflow, Composer (Airflow), PubSub, and Cloud Run.
  • Implement model monitoring strategies to detect drift, bias, and performance degradation using Vertex AI Model Monitoring and custom dashboards.
  • Optimize ML inference for improved latency and cost-efficiency.
  • Troubleshoot complex issues affecting ML models and data pipelines.
  • Ensure compliance with data governance, security, and regulatory requirements for real-money gaming.

What We're Looking For

  • At least 1 year of experience as an ML Engineer with production deployment background.
  • Strong experience with Google Cloud Platform services (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub, Composer).
  • Knowledge in containerization and Kubernetes orchestration using GKE.
  • Experience in building scalable data pipelines and deploying ML models.
  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with AI orchestration tools like LangGraph (or LangChain) is a bonus.
  • Bonus: Experience in gaming, fraud detection, or AI personalization with Agentic workflows.

Key skills/competency

  • Machine Learning
  • GCP
  • Model Deployment
  • Data Pipelines
  • Docker
  • Kubernetes
  • Python
  • TensorFlow
  • Monitoring
  • Compliance
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How to Get Hired at High 5 Games

🎯 Tips for Getting Hired

  • Research High 5 Games culture: Review their mission and recent projects online.
  • Customize your resume: Highlight GCP and ML deployment expertise.
  • Showcase relevant projects: Emphasize containerization and orchestration skills.
  • Prepare for technical interviews: Practice Python and ML algorithms questions.

📝 Interview Preparation Advice

Technical Preparation

Review GCP services and ML tools.
Practice Python and ML framework coding.
Study containerization and Kubernetes deployment.
Learn ML model monitoring best practices.

Behavioral Questions

Describe past teamwork in troubleshooting issues.
Explain handling tight production deadlines.
Discuss adapting to evolving tech requirements.
Share experiences in cross-functional collaboration.

Frequently Asked Questions