Lead Machine Learning Engineer (Remote)

5+ years of experience. Deep experience with current-generation ML algorithms and frameworks (e.g., XGBoost, PyTorch, Tensorflow). Hands-on expertise with generative AI (e.g., fine-tuning GPT, reinforcement learning). Programming skills in Python (e.g., Pandas, NumPy, PyTorch, LlamaIndex, Langchain, Haystack). Experience with platforms like AWS SageMaker, Databricks, GCP, Snowflake or Azure. Experience building and maintaining large-scale ML systems in production. Experience with data pipelines and orchestration tools (e.g., Kubernetes, Jenkins). Experience with asynchronous REST API development, cloud infrastructure, and DevOps practices. Familiarity with testing, troubleshooting, and triaging production issues.

Lead the development of Experian's AI platform and machine learning models. Design and deploy scalable ML frameworks and pipelines. Develop custom models, including LLMs and traditional ML algorithms. Oversee the creation of advanced tools for training and deploying models. Mentor a diverse team of engineers and scientists. Establish best practices for model development, automation, and AI systems.