# Senior Machine Learning Engineer / Technical Lead > PhazeRo · Muscat, Oman (Hybrid) · Full-time · Posted 2026-05-11 **Workplace:** hybrid ## Description 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 ## Requirements \* Proven experience deploying LLMs in production \* Strong experience with GPU-based inference and optimization \* Solid backend engineering skills (Python, APIs, distributed systems) \* Experience with MLOps and production ML systems \* Experience with OCR/document AI and/or voice systems (STT/TTS) \* Experience with Docker and Kubernetes \* Strong understanding of modern AI architectures (RAG, vector DBs, agent workflows) \* Experience mentoring or leading engineers \* Strong communication skills with the ability to bridge business and technical domains Nice to Have: \* Experience with open-weight models (Qwen, Llama, DeepSeek, Gemma) \* Experience with on-prem / sovereign AI deployments \* Experience with LoRA / fine-tuning \* Multilingual or Arabic NLP experience ## Apply [Apply at PhazeRo](https://apply.workable.com/phazero/j/B312572B0D/apply) --- Powered by [Workable](https://www.workable.com)