Senior ML Engineer: Real-Time Data & GenAI Platform

FanDuel; Atlanta (GA); On-site; USD 138,000 - 173,000; Full time

Benefits offered by this job

401k with up to a 5% match

Generous paid time off (PTO)

Health insurance options

Pet insurance

Bonus opportunities

Job summary

A leading gaming company is looking for a Senior Machine Learning Engineer to unlock the potential of vast data through innovative algorithms and collaboration. The role involves designing intelligent search systems, contributing to scalable ML architecture, and leading projects to implement ML solutions. Ideal candidates will have 5-7 years of coding experience, strong skills in programming languages and ML frameworks, and the capability to work in cloud environments like AWS. Excellent team collaboration and a passion for data engineering is essential.

Qualifications

• 5-7+ years of relevant experience developing code.
• 1+ years of experience implementing ML production systems.
• Hands-on experience with ML and GenAI/LLM cloud services.
• Ability to share findings in easy-to-consume formats.

Responsibilities

• Design and implement ML personalization models.
• Develop platform features for ML applications.
• Collaborate with teams to produce insights.
• Conduct regular design process reviews.

Skills

Core programming languages (Python, Java)

Hands-on with ML frameworks (Scikit-learn, Tensorflow)

Experience with vector/semantic search

Cloud services (AWS, GCP, Azure)

Experience in deploying ML models

Tools

AWS cloud services

Databricks

Kafka

Tableau

Spark

Job description

A leading gaming company is looking for a Senior Machine Learning Engineer to unlock the potential of vast data through innovative algorithms and collaboration. The role involves designing intelligent search systems, contributing to scalable ML architecture, and leading projects to implement ML solutions. Ideal candidates will have 5-7 years of coding experience, strong skills in programming languages and ML frameworks, and the capability to work in cloud environments like AWS. Excellent team collaboration and a passion for data engineering is essential.