Principal ML engineer

Role name: Principal ML engineer
Work Location: Bellevue, US (onsite)

Contract Role




Role and responsibilities:



–+ years in machine learning, AI, or data science roles.

• Proven track record of leading complex ML projects, deploying production-grade AI solutions, and mentoring teams.

• Experience in architecting enterprise-level ML platforms and influencing AI strategy is preferred.

• Expertise in Python, R, Java, or similar languages for ML/AI development.

• Extensive experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras.

• Strong foundation in statistics, probability, linear algebra, optimization, and data modeling.

• Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI Platform) and large-scale data processing tools (Spark, Hadoop).

• Proficiency in MLOps, CI/CD, containerization (Docker/Kubernetes), and model ...