AIML Architect Impetus Technologies

About Impetus Technologies

Job Description

Bangalore, Karnataka, India;Pune, Maharashtra, India;Noida, Uttar Pradesh, India Qualification : Job Overview: We are seeking a highly skilled AI/ML Architect with a strong foundation in Data Engineering and a proven ability to Design Thinking in solving complex business challenges. The ideal candidate will play a key role in shaping end-to-end AI/ML solutionsfrom data architecture to model deploymentwhile 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. Skills Required : AWS, machine learning, Artificial intelligence, python, production environment, Deep learning, NLP Role : Job Overview: We are seeking a highly skilled AI/ML Architect with a strong foundation in Data Engineering and a proven ability to Design Thinking in solving complex business challenges. The ideal candidate will play a key role in shaping end-to-end AI/ML solutionsfrom data architecture to model deploymentwhile 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. Experience : 10 to 15 years Job Reference Number : 13029,