symphony.is

Machine Learning Engineer

• Translate business challenges into AI/ML solutions; lead discovery workshops.
• Build and present PoCs to validate feasibility and value.
• Contribute technical input to proposals, scoping, and estimations.
• Develop models across NLP, CV, audio, and generative AI.
• Lead fine-tuning and PEFT methods (LoRA, QLoRA, instruction tuning).
• Assess architectural trade-offs: fine-tuning vs. prompting vs. off-the-shelf.
• Architect scalable deployments (APIs, batch, real-time).
• Implement CI/CD for ML: automated training, evaluation, versioning, deployment.
• Define monitoring, drift detection, and optimization standards.
• Collaborate with data engineers on pipelines and feature engineering.
• Stay current with foundation models and multimodal innovations.
• Set coding standards and lead design/architecture reviews.
• Mentor engineers and guide research-to-production workflows.
• Communicate technical decisions to both engineering and executive audiences.

Principal AI/ML Engineer