- Strong expertise in Google Cloud Platform (GCP)
- Design and implement advanced data models and deploy scalable machine learning solutions.
Data Science & Modeling:
- Design and develop machine learning models for predictive analytics and decision support.
- Apply advanced statistical NLP computer vision and time series forecasting techniques.
- Create and optimize data pipelines and ETL workflows for model training and deployment.
Cloud Implementation (GCP):
- Deploy and manage ML models using Vertex AI AI Platform and BigQuery ML.
- Build scalable data pipelines using Cloud Dataflow Pub/Sub and Cloud Composer (Airflow).
- Use Google Cloud Storage BigQuery and Cloud Functions for data integration and management.
Required Skills & Experience:
- 6 years of experience in Data Science and Machine Learning.
- 3 years of handson experience with GCP cloud services.
- Strong knowledge of Python SQL and TensorFlow/PyTorch.
- Proficient in BigQuery Vertex AI Cloud ML Engine and Dataflow.
- Experience with MLOps practices and tools like Kubeflow MLflow or CI/CD pipelines.
- Solid understanding of cloud security IAM and service accounts.
Preferred Qualifications:
- GCP Professional Data Engineer or Machine Learning Engineer certification.
- Experience with APIs and microservices for model deployment.
- Familiarity with Docker Kubernetes and CI/CD pipelines.
- Knowledge of A/B testing hyperparameter tuning and model interpretability techniques.