PhazeRo

Senior Machine Learning Engineer

PhazeRo

The Role PhazeRo is looking for a Senior Machine Learning Engineer who will take a technical leadership role in architecting and scaling real-world AI products. You will be responsible for contributing to and overseeing the end-to-end lifecycle of high-impact agentic systems, moving beyond individual experimentation to leading the deployment of robust, production-grade models. You will serve as a technical mentor for the team, driving best practices in Software Engineering, MLOps, and LLM optimization to power next-generation user experiences. Core Responsibilities Architect and Optimize Systems: Design and oversee the development of scalable data pipelines for complex model training and real-time inference. Advanced LLM Development: Lead the fine-tuning, evaluation, and optimization of Large Language Models (LLMs) specifically for production-level Agentic Digital Assistants. Production & Infrastructure Leadership: Direct the deployment of open-source and proprietary models on remote servers, ensuring high performance, low latency, and cost-efficiency. Strategic Integration: Work closely with cross-functional engineering leads to integrate sophisticated ML components into broader system architectures. Model Governance: Establish robust monitoring frameworks to track model performance and implement automated retraining loops to maintain quality and relevance. R&D Mentorship: Stay at the forefront of AI research and tools, translating new techniques into actionable strategies for the team. What we value Deep LLM Expertise: Extensive experience with transformers and advanced techniques in fine-tuning, prompt engineering, and rigorous model evaluation. Senior Production Track Record: A proven history of taking complex ML projects from research notebooks to successful, large-scale production environments. Expert Programming & Framework Knowledge: Mastery of Python and deep learning. MLOps Mastery: Deep familiarity with professional MLOps tooling (e.g., MLflow, Weights & Biases, Docker) and cloud-native architectures on OCI, AWS or GCP. Strategic Builder Mentality: A drive to ship fast and iterate based on user data, while maintaining a long-term technical vision for product growth. Collaborative Leadership: Strong communication skills with the ability to lead remote-first teams and foster a culture of technical excellence and inclusion.