PhazeRo

Senior Machine Learning Engineer

PhazeRo
Location
Job Type
Full-time
Salary
30k-50k OMR (Estimated)
Posted
2/24/2026
Career Level
Senior
Qualification
Deep LLM Expertise, Production Track Record, Expert Programming, MLOps Mastery, Strategic Builder Mentality, Collaborative Leadership
RemoteExtensive experience with transformers and advanced techniques. Proven history of taking complex ML projects to production environments.10 views

Job Description

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.

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