AI/ML Engineer - Live Story

Minimum 3 years of applied experience in AI/Data Science. Deep knowledge of Python and its core libraries. Practical experience with Deep Learning frameworks (PyTorch, Hugging Face) and orchestration tools (LangChain). Proficiency in Scikit-Learn, Pandas, Numpy, and statistical modeling. Experience deploying models to production, including performance tuning and cost/latency optimization. Ability to explain complex technical concepts to non-technical stakeholders. Experience in creating "AI Copilots" or content generation tools (nice to have). Familiarity with frontend implementation of AI features (nice to have).

Design and implement AI features using Generative AI and classical ML models. Collaborate with the Product Team to translate business needs into data science projects. Build infrastructure for prompt management, model monitoring, cost optimization, and deployment pipelines. Monitor model performance in production and analyze usage data for continuous improvement.