Artificial Intelligence Architect - Data Modeling

Job Description : We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of scalable AI/ML systems. With 8-12 years of hands-on experience in machine learning, including expertise in Generative AI, conversational bots, and virtual agents, the ideal candidate will play a key role in driving innovation and delivering impactful AI-driven solutions at Groww. Responsibilities : - Architect and design robust AI/ML solutions that align with business objectives and user needs. - Lead the development of Generative AI models and applications, including conversational agents, chatbots, and personalized user experiences. - Collaborate with cross-functional teams to integrate AI capabilities into Groww's products and services. - Stay at the forefront of AI advancements and identify opportunities to leverage emerging technologies. - Ensure the scalability, performance, and security of AI/ML systems in production. - Guide and mentor ML engineering teams in best practices for AI/ML development. - Define AI strategies and roadmaps, balancing short-term impact with long-term innovation. - Drive the evaluation and selection of tools, platforms, and frameworks for AI projects. - Work closely with data scientists, product managers, and other stakeholders to translate business problems into AI solutions. Requirements : - 7-12 years of core machine learning experience, including building and deploying ML models in production. - Strong expertise in Generative AI, natural language processing (NLP), and conversational AI technologies. - Proven experience in designing and implementing AI-powered chatbots, virtual agents, or similar applications. - Proficiency in Python and common ML libraries/frameworks (e. g., TensorFlow, PyTorch, Hugging Face, etc. ). - Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable architectures for AI workloads. - Strong understanding of data pipelines, feature engineering, and MLOps practices. - Excellent problem-solving skills and a deep understanding of machine learning algorithms. - Experience in driving AI strategy and delivering measurable business impact. - Strong communication and stakeholder management Qualifications : - Advanced degree (Master's or Ph. D. ) in Computer Science, Machine Learning, AI, or a related field. - Familiarity with financial services or fintech domains. - Experience with reinforcement learning, recommendation systems, or personalization techniques. - Contributions to open-source projects or research in the AI/ML domain. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/15/2025