Ai/Ml Architect

AI & Machine Learning- Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.- Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.- Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.- Partner with cross-functional teams to identify AI use cases and deliver measurable business value.Data Science & Analytics- Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.- Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.- Leadership & Strategy- Mentor and guide junior team members, fostering their professional growth.- Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.Cloud Architecture & Engineering- Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.- Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML.- Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments.