Designing and operating cloud - based MLOps capabilities supporting analytical and generative AI models. Collaborating with data science and business teams for high - impact AI solutions.
About the role
- Principal AI/ML Engineer leading AI initiatives for global enterprise clients at Symphony. Shaping solutions and architecting production-ready ML systems across diverse domains.
Responsibilities
- 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
- 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
- Ready to Join 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? If you have any questions our Talent Acquisition team is here for you. Feel free to drop us an email at [email protected]. We’d love to connect!
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