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