Senior Machine Learning Engineer
Core
Develop and scale advanced machine learning solutions, specifically computer vision and multimodal models, to transform operational data into accurate customer experiences for lottery fulfillment.
Role type
Senior Machine Learning Engineer (Computer Vision & Multimodal)
Builds
Production ML models, data pipelines, and real-time processing systems for lottery operations
Domain
Gaming/Lottery Technology + Computer Vision
Deliverable
production ML models
Required skills
Python, Computer Vision, Multimodal Models, Model Fine-tuning (LoRA), Data Pipelines, Cloud Infrastructure (GCP), Docker, Kubernetes, OpenCV, PyTorch, Hugging Face Transformers
Preferred skills
Kotlin, Java, Protocol Buffers, Regulated Industry Experience
Technologies
Google Cloud, Docker, Kubernetes, GitHub Actions, Datadog, OpenCV, PyTorch, Hugging Face Transformers, PEFT, vLLM
Responsibilities
Design, train, and optimize computer vision and multimodal ML models; Build and maintain scalable data pipelines; Develop robust evaluation frameworks and performance metrics; Deploy and manage ML models on scalable cloud infrastructure; Integrate ML models into real-time processing systems (OCR, barcode decoding); Collaborate with cross-functional teams to strengthen systems supporting lottery fulfillment; Promote engineering excellence through code reviews and mentorship.
Seniority
Senior, hands-on IC
