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symphony.is

Principal AI/ML Engineer

symphony.is

As a Principal AI/ML Engineer, lead AI initiatives for global enterprise clients at Symphony, shaping solutions for various domains.

Posted 5/26/2026full-time🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSAzureDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  • Minimum 10+ years in software engineering or ML, with 5+ years focused on production ML systems
  • Strong background in consulting, professional services, or client-facing technical leadership.
  • Track record of delivering ML solutions across multiple domains or industries.
  • Expert Python; strong software engineering fundamentals.
  • Deep experience with PyTorch or TensorFlow and modern architectures (Transformers, Diffusion models).
  • Hands-on with LLMs: fine-tuning open-source models (Llama, Mistral), parameter-efficient methods, and evaluation strategies.
  • Model serving, containerisation (Docker/Kubernetes), and CI/CD pipelines.
  • Proficiency with AWS SageMaker, GCP Vertex AI, or Azure ML.

Benefits

Comp & perks
  • Ready to Join Us?
  • If this opportunity sparks your interest, don’t hesitate—let’s see where this journey can take us.
  • We’ll review applications as they come in and promptly reach out to candidates chosen to move forward in the process.
  • Curious to Learn More?

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI solutionsML solutionsNLPCVgenerative AIfine-tuningPEFT methodsPythonPyTorchTensorFlow
Soft Skills
leadershipcommunicationmentoringcollaborationconsultingclient-facingtechnical decision-making
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Information Technology