The role involves preparing traffic data, developing and deploying machine learning models on Google Vertex AI, and collaborating with teams to improve project workflows.
This is a remote position.
Comerit is looking for an experienced and driven Google AI/ML Data Scientist to join our team and play a key role in the Border Wait Time (BWT) project. In this position, you will prepare and process complex traffic congestion datasets, develop machine learning models to predict traffic volumes, and deploy scalable solutions using Google Vertex AI. Your work will help improve real-time decision-making, enhance border efficiency, and optimize travel experiences for millions of users.
Requirements
Key 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.
Qualifications
Required:
- 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.
Preferred:
- 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.
Similar Jobs
Edtech • Healthtech • HR Tech • Information Technology • Professional Services • Software • Telehealth
The Senior Account Executive role at RethinkEd involves driving sales growth across mid-size and large school districts, building relationships, managing the sales cycle, and collaborating with internal teams to support district success.
Top Skills:
Crm SystemsSales Productivity ToolsSalesforce
Edtech • Healthtech • HR Tech • Information Technology • Professional Services • Software • Telehealth
The Reconciliation Specialist supports billing teams by ensuring reimbursement reconciliation for therapy sessions, posting payments accurately, and communicating with insurance companies. Responsibilities include reconciling payments, interpreting EOBs, monitoring key metrics, and fostering a positive work environment.
Top Skills:
Billing SoftwareClearinghouse SystemsEmrGoogle DocsMicrosoft SuiteRethink
Edtech • Healthtech • HR Tech • Information Technology • Professional Services • Software • Telehealth
The AR Specialist ensures timely insurance reimbursements, follows up on outstanding A/R claims, manages denials, and maintains accurate billing records while collaborating with the billing team.
Top Skills:
Billing SoftwareClearinghouse SystemsDenial Management PlatformEmrMicrosoft Suite
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
