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