ML Engineer: Personalization & Scalable AI Pipelines

Novibet; Kentucky; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Gym access

Top-notch equipment

Career growth opportunities

International team

Job summary

Novibet is hiring a Machine Learning Engineer to develop and deploy ML models for player behavior, recommendations, and dynamic content generation. You will build scalable data pipelines and work closely with software engineers, data engineers, product managers and business stakeholders to integrate ML into products.

You will monitor models in production, ensure accuracy, and apply state-of-the-art AI/ML techniques while staying current with industry advances; Azure/AWS/GCP cloud familiarity is

Qualifications

• Advanced degree in CS/math/engineering or related field.
• Minimum 4 years of work experience in a relevant role.
• Strong knowledge of Python, SQL and PySpark.
• Experience with ML libraries: Scikit-learn, TensorFlow, PyTorch.
• Experience with GenAI and recommender systems is preferred.
• Familiarity with CI/CD pipelines and MLOps.
• Cloud platform experience (Azure preferred).

Responsibilities

• Develop and deploy machine learning models for player behavior, recommendations and dynamic content generation.
• Design scalable ML pipelines to process large datasets.
• Collaborate with engineers, data scientists and product teams to integrate ML into products.
• Monitor and maintain models in production, ensuring accuracy and reliability.
• Stay up-to-date with AI/ML advancements and apply best practices.

Skills

Python

SQL

PySpark

ML lifecycle

CI/CD pipelines

GenAI

Education

Bachelor's or Master’s in CS/Math/Engineering

Tools

Databricks

MLFlow

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

Job description

Novibet is hiring a Machine Learning Engineer to develop and deploy ML models for player behavior, recommendations, and dynamic content generation. You will build scalable data pipelines and work closely with software engineers, data engineers, product managers and business stakeholders to integrate ML into products.

You will monitor models in production, ensure accuracy, and apply state-of-the-art AI/ML techniques while staying current with industry advances; Azure/AWS/GCP cloud familiarity is