AI ML Architect

Generative AI Architect/Lead : Location : Hyderabad / Bangalore/ ChennaiExperience : 7 to 14 YearsNotice period : Immediate to 60 daysKey Responsibilities : - Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives.- Architecture Design : Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks.- Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment.- Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization.- Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes.- Performance Monitoring : Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications.- CI/CD Pipeline Management : Design and manage continuous integration and continuous deployment pipelines for generative AI solutions.- Define and deliver quality API access for various generative AI services.- Bachelors degree with 8+ years of experience; Masters degree with 7+ years of experience; PhD with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering).- Experience : Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies.- Proficiency in programming languages such as Python, R, or Java.Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and libraries for deep learning.Strong understanding of generative AI techniques, including deep generative models and reinforcement learning.Expertise in CI/CD pipeline design and management, particularly in the context of generative AI.Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes).- Data Management Skills : 1. Experience with data handling, including data cleansing, preprocessing, and storage solutions (e.g., Snowflake).Beneficial Skills : - Knowledge of large language models (LLMs) such as Microsoft Azure OpenAI (e.g., Understanding of AI agents for decision-making and deployment of complex applications.- Experience in the commercial domain or specific industry knowledge (e.g., .