AI /ML Architects

10 hours ago

Navi Mumbai, Maharashtra, India Sonyo Management Consultants Full time ₹ 20,00,000 - ₹ 60,00,000 per year

AI/ML Technical Architect

Reporting Structure

Portfolio Manager

Education

Bachelors degree in engineering (Computer Science, AI, IT or equivalent) or Masters 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.

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