MLOps/ AI Engineer

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New York / $190000 - $200000 annum

INFO

Salary
SALARY:

$190000 - $200000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

MLOps / AI Engineer
Gaming Industry
$190,000 - $200,000 base salary
Fully Remote

About the Company

A globally recognized gaming company operating at the intersection of creativity and technology is seeking an MLOps / AI Engineer to enhance its AI capabilities. This company specializes in developing both physical and online casino games, leveraging AI to drive operational efficiency, improve fraud detection, optimize marketing efforts, and enhance customer experience.

The Role

This is a high-impact role will sit on the engineering team under the Chief Data Officer. You will play a critical role in integrating AI into the company's existing products to drive efficiency, productivity, and speed, ensuring that AI solutions deliver tangible business value.

This role emphasizes deploying AI models to optimize various business functions, such as:

  • Fraud Detection: Enhancing fraud prevention pipelines to quickly identify and mitigate risks.
  • Marketing Optimization: Applying AI to improve campaign effectiveness, automation, and personalization.
  • Customer Service Enhancement: Implementing AI-driven solutions to reduce ticket volume, automate responses, and improve personalization.
  • LiveOps & Revenue Growth: Optimizing churn models and refining monetization strategies to increase engagement and revenue.

Responsibilities

  • Deploy AI models in a production environment, ensuring seamless integration into existing systems.
  • Design, build, and manage ML pipelines from proof of concept to full-scale deployment.
  • Work with MLOps tools like MLflow to enable efficient model tracking, deployment, and monitoring.
  • Optimize AI models to improve speed, efficiency, and scalability for fraud detection, marketing, and customer service automation.
  • Implement GCP-based AI solutions, particularly with Vertex AI.
  • Collaborate cross-functionally with Engineering, Marketing, and Data Science teams to align AI initiatives with business goals.

Your Skills & Experience

  • Proven experience in MLOps / AI Engineering, with a strong focus on deploying AI models in production.
  • Hands-on experience with MLflow and end-to-end ML pipelines.
  • Strong proficiency in GCP (Google Cloud Platform), ideally Vertex AI.
  • Experience working with Langflow and proof-of-concept AI implementations.
  • Background in fraud detection, fintech, or banking is a plus.
  • Familiarity with AI applications for marketing automation and customer service optimization.
  • Strong problem-solving skills and ability to translate AI capabilities into business impact.

Why Join?

  • Shape AI strategy in a fast-paced, innovative gaming company.
  • Fully remote work with flexibility.
  • High-impact role with direct influence on fraud prevention, marketing, and customer experience.
  • Work alongside top AI & engineering talent in a dynamic industry.

How to Apply

If you're experienced in AI Engineering and eager to make a mark in the gaming industry, this is your chance to lead the way in leveraging AI to redefine player engagement. Send your application to Virginia via the apply link on this page.

Keywords

Python | TensorFlow | PyTorch | Generative AI | Machine Learning | AI | Computer Vision | Recommendation Systems | Classification Models | Object Detection | Image Segmentation | Image Classification | RNN | CNN | CUDA | GPU Optimization | Parallel Programming | Video Generation | Text Content Personalization | Image Processing | Gaming Industry | Player Retention Models | Predictive Modeling | Content Personalization

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