ML Architect

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.

Key Responsibilities
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

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