ML/ML Ops Principal Engineer

**Preferred Qualifications**

+ 7-10+ years of experience in Data Science, Machine Learning, and ML Operations
+ Bachelor’s or Master’s degree in computer science, engineer, mathematics, data science or a related technical field
+ Cloud Architecture certification like (Google Cloud Professional Architect, etc.)
+ Certification in Artificial Intelligence like (Google Cloud, Vertex AI, etc)
+ Build Machine Learning models, perform proof-of-concept, experiments, optimize, and deploy models into production
+ Expertise in designing ML models using TensorFlow or PyTorch. Demonstrated experience deploying ML models in production environments
+ Strong understanding of feature engineering, model evaluation, and bias testing. Theoretical and Practical knowledge in developing regression, classification, and time-series models.
+ Proficient in MLOps and DataOps using MLflow, Kubeflow, and CI/CD
+ Expertise in model monitoring, retraining strategies, deployment str...