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ML Architect

  • Company

    Impetus

  • Location

    Indore, Madhya Pradesh, IndiaNoida, Uttar Pradesh, IndiaHyderabad, Telangana, IndiaGurugram, Haryana, IndiaBengaluru, Karnataka, IndiaPune, Maharashtra, India

  • Employment Type

    Full-Time

  • Functional Category

    Technology & Data

  • Experience

    8 - 12 years

About Impetus

Impetus Technologies enables the Intelligent Enterprise™ with innovative data engineering, cloud, and enterprise AI services. Recognized as an AWS Advanced Consulting Partner, Elite Databricks Consulting Partner, Data & AI Solutions Microsoft Partner, and Elite Snowflake Services Partner, Impetus offers a comprehensive suite of cutting-edge IT services and solutions to drive innovation and transformation for businesses across various industries. With a proven track record with Fortune 500 clients, Impetus drives growth, enhances efficiency, and ensures a competitive edge through continuous innovation and flawless, zero-defect delivery.

Overview of the Role

Looking for a ML Architect to define the end-to-end architecture of our ML systems—from data ingestion and model training to deployment and monitoring. The ML architect will strategize and implement scalable, secure, and maintainable architectures that meet business goals.

Job Description

• Design comprehensive ML system architectures, including MLOps workflows
• Oversee data pipeline integration, training workflows, and CI/CD processes
• Define model deployment strategies, versioning, monitoring, and scaling
• Design Deep learning solutions for Audio and Videos
• Partner with data scientists, engineers, and DevOps to bridge development and operations
• Ensure compliance, governance, and performance benchmarks are met
• Evaluate new ML tools and platform technologies to improve architecture
• Stay up to date with the latest advancements in the fields of AI

Required & Preferred Qualifications

Skill

• Extensive experience (5+ years) in ML system architecture and MLOps
• Experience with Deep learning solution development
• Experience in designing and deploying GenAI/LLM based applications.

Education

Bachelor’s or Master's in CS, Software Engineering, or related field

Experience

• Proficiency in cloud platforms (AWS, GCP, Azure) and ML orchestration (e.g., Kubeflow) • Strong in software architecture, data engineering, and CI/CD best practices • Excellent communication skills and ability to drive technical consensus