We are looking for an AI & ML Engineer to join a team creating advanced AI/ML applications across fraud prevention, risk management, and operational optimization. You will work on end-to-end ML workflows, including generative and agentic AI solutions, and help scale LLM deployments on GPU clusters using modern MLOps and AIOps practices. 🚀
What you’ll do:
- Design, develop, and deploy AI/ML applications, including RAG systems and agentic AI workflows 🤖
- Optimize LLM training and inference across GPU clusters using Kubernetes and AIOps tools ⚡
- Turn prototypes into production-ready systems
- Explore and experiment with cutting-edge AI/ML methods and technologies 🔬
- Contribute to improving internal practices and workflows for AI operations
- Maintain and support AI-related infrastructure and tools
Must-haves:
- 4+ years of experience building and maintaining ML systems (PhD counts)
- Strong Python skills 🐍
- Solid Linux experience 🖥️
- Experience with complex computational or scientific modeling
- Understanding of MLOps, AIOps, and deploying AI systems in production
- Hands-on experience with LLMs, RAG systems, or agentic AI
- Familiarity with Kubernetes ecosystem (Helm, ArgoCD)
- Projects or experience with open-source LLM tools (vLLM, llama.cpp, open-webui)
- Knowledge of parallel or distributed computing
- Experience with UI frameworks like Streamlit or Svelte for AI prototypes
- Basic SQL or workflow orchestration (Airflow)
