Senior Machine Learning Engineer

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