AI/ML GenAI Architect

Job description

**Role & responsibilities:** - 10+ years of experience in AI/ML solutioning, architecture, and production deployments. - Strong hands-on experience designing AI/ML architectures. - Strong understanding of Large Language Models (LLMs) and Generative AI, including fine-tuning and real-world application patterns. - Experience with cloud-native architectures on AWS/Azure/GCP for scalable, cost-effective AI workloads. - Deep knowledge of MLOps practices (CI/CD, deployment strategies, monitoring, governance) for ML systems in production. - Proficiency in data pipelines, data lakes, and feature engineering; ability to guide data architecture decisions for ML. - Strong analytical, problem-solving, and communication skills; ability to work with multidisciplinary teams and stakeholders. - Strong proficiency in Python and experience with relevant libraries and frameworks (e.g., NumPy, pandas, Fast API). - Ability to work efficiently within a fast-paced, deadline-driven environment, prioritize tasks, manage time effectively, and communicate challenges or issues proactively.