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
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Operate and maintain Insitu unmanned aircraft systems, conduct preflight planning and mission briefings, collect and analyze flight data, perform troubleshooting and field maintenance, coordinate with customers and subject-matter experts, manage spares inventory, and deploy worldwide in austere environments to support customer missions.
Top Skills:
Basic NetworkingIntegratorRq21ScaneagleUas Platforms
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Operate and maintain Insitu unmanned aircraft systems, plan and execute missions, collect/analyze payload and video data, perform pre/post-flight checks and maintenance, support customers in field deployments, and complete inventory and mission reporting. Deployable to remote/austere locations up to 70% travel.
Top Skills:
Basic NetworkingIntegratorRq21ScaneagleUas
Digital Media • Information Technology • News + Entertainment
Field-based enterprise seller responsible for developing territory strategy, prospecting and closing mid-market and enterprise multi-location accounts. Delivers face-to-face presentations, builds partner relationships, positions Comcast Business solutions, ensures customer retention, and meets/exceeds financial targets while coordinating with internal teams.
Top Skills:
23)Business ContinuityCustomer Premise Equipment (Cpe)CybersecurityDisaster RecoveryEthernetLanMan (Metropolitan Area Network)Network SecurityNetworking Protocols (Layers 1Sd-WanVoipVpnWanWdm
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
