Techies4tech.ai is hiring a Senior ML Engineer / ML Architect to lead the design and evolution of machine learning systems at a senior level. This role focuses on shaping scalable ML architecture, improving training and inference efficiency, and helping translate advanced ML capabilities into production-ready systems. The position is suited to work that combines architectural decision-making with hands-on technical depth across core ML infrastructure.
• ML system architecture, — target L6 (Prof), must-have • distributed training — target L6 (Prof), must-have • model optimization & quantization — target L6 (Prof), must-have • MLOps pipeline design, — target L6 (Prof), nice-to-have • , A/B testing at scale, — target L6 (Prof), nice-to-have • cost optimization — target L6 (Prof), nice-to-have • cross-team ML platform strategy — target L6 (Prof), nice-to-have • Working AI leverage — observed and scored, never assumed • 06–12 years of relevant experience
Design and guide ML system architecture for production use cases. Build and improve distributed training approaches to support scalable model development. Drive model optimization & quantization work to improve deployment efficiency and performance. Where applicable, contribute to MLOps pipeline design, support experimentation through A/B testing at scale, and inform cost optimization and cross-team ML platform strategy.
this position is for US based client.
This role offers the opportunity to shape ML architecture at a senior level with direct influence on scalability, efficiency, and production readiness. It is a strong fit for someone who wants to work across system design, distributed training, and model optimization & quantization while contributing to how ML capabilities are operationalized over time.
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