Senior Machine Learning Engineer at PhazeRo

Muscat, Muscat Governorate, Oman -

Full Time

Start Date

Immediate

Expiry Date

25 Jul, 26

Salary

0.0

Posted On

26 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Python, LLM, MLOps, Data Pipelines, Transformers, Prompt Engineering, Model Evaluation, Docker, MLflow, Weights & Biases, Cloud Architecture, AWS, GCP, OCI, Technical Leadership

Industry

IT Services and IT Consulting

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

Responsibilities

The role involves architecting scalable data pipelines and leading the end-to-end development of production-grade agentic AI systems. You will also mentor the team on MLOps best practices and oversee the deployment of LLMs to ensure high performance and quality.