Senior Machine Learning Engineer / Technical Lead

The Role We are looking for a hands-on Senior ML Engineer to lead the development and operation of production-grade AI systems across LLMs, OCR, and voice. This role combines deep technical ownership with leadership of a high-performing team of junior engineers, as well as direct engagement with stakeholders to shape AI solutions.

Responsibilities:

• Lead and mentor a team of highly talented junior ML engineers through:   * Code reviews, design reviews, and technical direction   * Enforcement of strong software engineering and ML best practices

• Design, deploy, and operate scalable AI systems with a focus on reliability and performance

• Lead production deployment of LLMs and multimodal systems (RAG, OCR, voice)

• Own model performance end-to-end, combining evaluation, observability, and hardware optimization:   * Build evaluation pipelines (benchmarks, regression testing, LLM-as-judge)   * Implement deep observability (tracing, latency, error tracking)   * Optimize GPU utilization (multi-GPU serving, batching, quantization, memory tuning)   * Continuously improve throughput, latency, and cost efficiency  

• Architect and manage GPU infrastructure:   * Model serving, load balancing, and scaling strategies   * Hardware-aware deployment and performance tuning  

• Build and maintain robust MLOps pipelines:   * Model/version management, CI/CD, automated testing, and rollback strategies   * Monitoring and feedback loops for continuous improvement  

• Engage directly with clients and stakeholders to:   * Gather and clarify business requirements   * Translate non-technical needs into well-defined technical problems   * Communicate solutions, trade-offs, and progress through clear documentation, reports, and proposals

• Contribute hands-on to system design, implementation, debugging, and production incident resolution