AI Engineer
Core
Develop and deploy machine learning models, fine-tune large language models, and build AI infrastructure for player personalization, content generation, and predictive analytics in the iGaming industry.
Role type
Senior IC AI/ML Engineer (LLM & Infrastructure)
Builds
Production ML models, vector databases, conversational AI systems, and real-time data pipelines for iGaming platforms
Domain
iGaming, Machine Learning, Large Language Models (LLMs), Vector Databases
Deliverable
production ML models
Required skills
Python, Machine Learning algorithms, LLM fine-tuning (PEFT, LoRA, QLoRA), Vector databases (Pinecone, Weaviate, Chroma), LangChain, Cloud platforms (AWS, GCP, Azure), PyTorch, TensorFlow, SQL/NoSQL, MLOps tools (Docker, Kubernetes, MLflow)
Preferred skills
Responsible AI practices, Multi-modal AI systems, Graph neural networks, A/B testing design
Technologies
Pinecone, Weaviate, TypeSense, Redis, PostgreSQL, MLflow, Weights & Biases, Grafana, DataDog, Terraform, GitHub Actions, OpenAI APIs, Anthropic Claude
Responsibilities
Design and deploy ML models for player behavior prediction and churn analysis; Fine-tune LLMs for content generation and review analysis; Build RAG systems and multi-agent workflows; Develop real-time data processing pipelines; Implement recommendation engines for personalized content and bonuses
Seniority
Senior, hands-on IC