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AIML Architect @ Impetus Technologies

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 AIML Architect

Job Description

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.
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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Impetus Technologies
Location(s): Noida, Gurugram

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Keyskills:   Architect Solution design Architecture data science System integration Performance optimization Deployment Monitoring Data architecture Python

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Impetus Technologies

Impetus Technologies Impetus Technologies is a software products and services company focused on creating powerful and intelligent enterprises through deep data awareness, data integration and advanced data analytics. Our products and services are designed to empower the real-time data driven en...