AI Engineer

Experience deploying and maintaining ML models in production, with tools like MLflow or Weights & Biases Hands-on with LLMs (e.g. GPT, LLaMA), including prompt engineering, RAG, and fine-tuning for real-world use Strong Python skills and familiarity with backend integration and data pipelines Skilled in working with diverse data types and prepping large-scale datasets using tools like Spark or SQL Familiarity with MLOps tools, CI/CD, Docker, Kubernetes, and cloud platforms (AWS, GCP, etc.)

Build and deploy intelligent systems that deliver real impact. Select and fine-tune models. Integrate them with backend systems.