• Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions. • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML). • Deliver applications that are reliable, intuitive, and built for long-term value. • Navigate emerging and rapidly changing AI/ML technologies and tools. • Adapt quickly, lead through change, and make confident decisions with limited information. • Recommend modern approaches and innovations in AI/ML. • Ask the right questions to uncover root causes and deliver solutions that solve the real problem. • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes. • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments. • Uphold security, data governance, and best practices in every deployment. • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement. • Help others by guiding team members to elevate technical delivery and AI/ML literacy.