AI ML Architect
6 hours ago
AI/ML Technical Architect
Job Title
AI/ML Technical Architect
Reporting Structure
Portfolio Manager
Education
Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Master's in AI, Machine Learning, or Data Science is preferred.
Experience/ Qualifications
- 10–12 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, 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, 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 up 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, 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, model deployment strategies.
- Prepare technical documents such as Blueprints, Architecture Diagrams, Business Continuity strategies, Sizing templates, Runbooks etc.
- 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
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