AI/ML Architect

Job Title : AI/ML Technical Architect Education : - Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Masters in AI, Machine Learning, or Data Science is preferred. Experience/ Qualifications : - 9- 10 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning. - Hands-on experience on design, development, deployment and monitoring of AI/ML applications and Python applications. - Experience in designing scalable AI/ML architectures for enterprise applications. - Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive modelling. - Experience on infrastructure resource sizing and optimization for AI applications. - Strong knowledge of AI Engineering concepts. - Strong knowledge of data engineering concepts. - Experience in packaging and deployment of AI/ML applications. - Hands on design and setup experience of MLOps practices, including CI/CD pipelines for ML models. - Experience in data governance, security, and compliance for AI-driven solutions. - Design and implement robust ML pipelines, model deployment strategies, and MLOps frameworks. - Excellent communication and leadership skills to guide AI/ML teams and collaborate with stakeholders. - Deep knowledge and understanding on Agentic AI, MCP, and UTCP concepts. Responsibilities : - Lead the end-to-end architecture of AI/ML solutions tailored to central banking use cases. - Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable technical solutions. - Design and implement robust ML pipelines and model deployment strategies. - Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, and Runbooks. - Lead the estimation, sizing, and AI development and infra requirements. - Lead the development and deployment of machine learning models for various use cases. - Establish best practices for MLOps, ensuring efficient model lifecycle management. - Optimize data pipelines for AI-driven applications, ensuring high performance and reliability. - Work with cross-functional teams to integrate AI solutions into existing systems. - Ensure data security, governance, and compliance in AI/ML implementations. - Research and apply cutting-edge AI technologies, including LLMs, to enhance solutions. - Provide technical leadership and mentorship to AI/ML engineers and data scientists. - Continuously improve AI/ML strategies and implement innovative solutions. - Ability to translate business problems into AI-driven solutions and provide strategic recommendations. - Strong analytical and problem-solving skills with experience in query optimization and debugging. Location : Navi Mumbai / Mumbai Job Title : AI/ML Technical Architect Education : - Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Masters in AI, Machine Learning, or Data Science is preferred. Experience/ Qualifications : - 9- 10 years of hands-on experience in software design and architecture, with at least 5 years in AI/ML solutioning. - Hands-on experience on design, development, deployment and monitoring of AI/ML applications and Python applications. - Experience in designing scalable AI/ML architectures for enterprise applications. - Experience on design and development of machine learning algorithms, deep learning frameworks, and predictive modelling. - Experience on infrastructure resource sizing and optimization for AI applications. - Strong knowledge of AI Engineering concepts. - Strong knowledge of data engineering concepts. - Experience in packaging and deployment of AI/ML applications. - Hands on design and setup experience of MLOps practices, including CI/CD pipelines for ML models. - Experience in data governance, security, and compliance for AI-driven solutions. - Design and implement robust ML pipelines, model deployment strategies, and MLOps frameworks. - Excellent communication and leadership skills to guide AI/ML teams and collaborate with stakeholders. - Deep knowledge and understanding on Agentic AI, MCP, and UTCP concepts. Responsibilities : - Lead the end-to-end architecture of AI/ML solutions tailored to central banking use cases. - Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into scalable technical solutions. - Design and implement robust ML pipelines and model deployment strategies. - Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, and Runbooks. - Lead the estimation, sizing, and AI development and infra requirements. - Lead the development and deployment of machine learning models for various use cases. - Establish best practices for MLOps, ensuring efficient model lifecycle management. - Optimize data pipe