remote
Principal/Staff Machine Learning Engineer Generative AI LLM - 10pearls
ML Engineer
Lead the design and deployment of cutting‑edge generative AI and large language model solutions, driving research, production pipelines, and cross‑functional collaboration to deliver high‑impact AI products.
About the role
Key Responsibilities
- Architect and implement end‑to‑end generative AI and LLM systems, from data ingestion to model training, fine‑tuning, and serving.
- Collaborate with research scientists to translate novel algorithms into production‑ready code, ensuring scalability and robustness.
- Design and maintain scalable ML pipelines on cloud platforms, optimizing for performance, cost, and reliability.
- Mentor and lead a team of ML engineers, fostering best practices in coding, testing, and model governance.
- Drive continuous improvement of model evaluation, monitoring, and bias mitigation strategies.
Requirements
- 10+ years of experience in machine learning with a strong focus on generative models and large language models.
- Proficiency in Python, PyTorch, and TensorFlow, with hands‑on experience in distributed training and inference.
- Deep understanding of cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML) and container orchestration (Kubernetes).
- Excellent communication skills and a proven track record of leading technical teams.
- Experience with model deployment, monitoring, and A/B testing in production environments.
Skills
machine learninggenerative aipythonpytorch