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AIML Architect

AIML Architect

ConfidentialNoida, India
10 days ago
Job description

Qualification

Job Overview :

We are seeking a highly skilled AI / ML Architect with a strong foundation in Data Engineering and a proven ability to apply Design Thinking in solving complex business challenges. The ideal candidate will play a key role in shaping end-to-end AI / ML solutions—from data architecture to model deployment—while ensuring the design remains user-centric, scalable, and aligned with business objectives.

Key Responsibilities :

  • Lead the architecture and design of AI / ML solutions across multiple business domains.
  • Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures.
  • Leverage design thinking methodologies to drive innovative and user-centric solution design.
  • Architect data pipelines and feature engineering processes for structured and unstructured data.
  • Oversee the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring.
  • Ensure best practices in MLOps, including CI / CD for ML, model governance, and retraining strategies.
  • Collaborate with data scientists, engineers, and product teams to align architecture with business goals.
  • Mentor and guide engineering and data science teams on solution design, performance optimization, and system integration.

Role

Key Responsibilities :

  • Lead the architecture and design of AI / ML solutions across multiple business domains.
  • Collaborate with stakeholders to identify use cases and translate them into scalable, production-ready ML architectures.
  • Leverage design thinking methodologies to drive innovative and user-centric solution design.
  • Architect data pipelines and feature engineering processes for structured and unstructured data.
  • Oversee the full ML lifecycle including data preprocessing, model training, evaluation, deployment, and monitoring.
  • Ensure best practices in MLOps, including CI / CD for ML, model governance, and retraining strategies.
  • Collaborate with data scientists, engineers, and product teams to align architecture with business goals.
  • Mentor and guide engineering and data science teams on solution design, performance optimization, and system integration.
  • Experience

    10 to 15 years

    Job Reference Number

    13029

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    Skills Required

    data engineering , MLops, Design Thinking

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