Google AI/ML Data Scientist
New
C
ComeritAI/ML Data Science
United StatesContractMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 3+ years
- Required Skills
- PythonGCPGitPyTorchTensorflowBigQueryscikit-learn
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 3+ years of experience in machine learning, including data preprocessing, feature engineering, and model development.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, BigQuery, and Cloud Storage.
- Strong understanding of statistical modeling, time series analysis, and predictive analytics.
- Familiarity with version control tools (e.g., Git) and collaborative coding practices.
- Experience working with traffic or congestion datasets.
- Expertise in real-time data integration and analytics.
- Knowledge of containerization tools (e.g., Docker, Kubernetes) for deploying ML models.
- Understanding of data privacy and compliance considerations in cloud-based ML projects.
Responsibilities
- Perform data cleaning, preprocessing, and feature engineering to prepare traffic congestion datasets for predictive modeling.
- Train, validate, and evaluate machine learning models to forecast traffic volumes based on historical trends and key features.
- Deploy machine learning models to Google Vertex AI to enable efficient and scalable prediction services.
- Monitor and validate model performance using test data, ensuring high accuracy and reliability.
- Refine models and methodologies based on performance metrics and stakeholder feedback.
- Collaborate with cross-functional teams, including cloud engineers, data engineers, and integration specialists, to integrate ML solutions into the BWT system.
- Stay updated with the latest advancements in AI/ML and incorporate best practices into project workflows.
View Full Description & ApplyYou'll be redirected to the employer's site
