Principal Machine Learning Engineer

Required

• 10+ years of experience in Machine Learning and/or Engineering, with a strong track record of technical leadership and system architecture across teams or business areas
• Expert-level proficiency in Python and advanced ML frameworks such as PyTorch or TensorFlo
• Demonstrated success in designing, scaling, and evolving ML platforms that support production-grade training, deployment, real-time inference, and monitoring
• Deep experience in LLMs and NLP, including transformer models, summarization, conversational agents, and embedding-based retrieval
• Advanced understanding of ML infrastructure, including continuous training, system observability, performance optimization, and platform reliability
• Experience with ML infrastructure tools such as Databricks, MLFlow, SageMaker, or equivalent
• A Master’s degree or PhD in Computer Science, Machine Learning, or a related field (not strictly required)
• Exceptional communication and cross-org leadership skills, with the ability to align diverse technical and non-technical stakeholders around ML strategy and long-term architecture