HAVI
Verified live 2d ago
AI Engineer
Brief overview
Chicago, ILHybrid
UndergradOr in progress
$105k–$125k/yrStated range
2+ yrsMinimum
10 H-1B approvalsDept. of Labor
1 green cardsCertified filings
Machine learning model design and trainingDeep learningData collection, cleaning, and preprocessingWorking with structured and unstructured dataModel performance monitoring and retrainingExperimenting with transformers and GANsTranslating business problems into AI solutionsUsing TensorFlow, PyTorch, Scikit-learnLeveraging AWS, Azure, GCPImplementing Agentic AIMonitoring and alerting for data pipelinesObservability using Azure Monitor/Log AnalyticsCluster sizing, autoscaling, PhotonCost and performance trade-off analysis
About the company
HAVIhavi.com
HAVI, part of Morgan Street Holdings, a Chicago-based company and private investment group, is a global leader in integrated supply chain management for the food industry, providing end-to-end solutions for retail, quick-service restaurants (QSR), and food service (FSR) in over 30 markets.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.10H-1B approved
100%approval rate
2new H-1B hires
1PERM certified
$147,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20235
20241
20252
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20252
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
Top sponsored roles
Sr. Manager, Analytics and InsightsSr. Solution Analyst
Sponsored employees from
China
Job description
Summary
HAVI is a global company focused on innovating and managing supply chains for leading brands. They are seeking an AI Engineer to design, build, and deploy scalable artificial intelligence solutions to enhance their predictive and prescriptive analytics capabilities.
Responsibilities
- Responsible for working with the data management, data science, decision science, and technology teams to address supply chain data needs in demand and supply planning, replenishment, pricing, and optimization
- Design and train machine learning (ML) and deep learning (DL) models
- Select appropriate algorithms based on the problem (e.g., classification, regression, NLP, computer vision)
- Collect, clean, and preprocess large datasets
- Work with structured and unstructured data (text, images, audio, etc.)
- Deploy models into production environments (e.g., using APIs, cloud platforms)
- Monitor model performance and retrain as needed
- Stay updated with the latest AI research and tools
- Experiment with new architectures (e.g., transformers, GANs)
- Translate business problems into AI solutions
- Use frameworks like TensorFlow, PyTorch, Scikit-learn
- Leverage cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow)
- Implement Agentic AI capability to drive efficiency and opportunity
Skills
- Bachelor's degree in computer science, data science, information systems, information science or a related field
- 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake)
- Experience with Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault
- Strong SQL expertise across large datasets; performance tuning (joins, partitions, file sizing)
- Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks
- Experience with DevOps: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions)
- Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage
- Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs
- Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products
- Advanced degree in computer science, data science, information systems, information science or a related field
- Certifications such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning professional, or other AI/ML/cloud/MLOps certifications
Qualifications
Must Haves
- Bachelor's degree in computer science, data science, information systems, information science or a related field
- 2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake)
- Experience with Azure Data Factory for orchestration (pipelines, triggers, parameterization, IRs) and integration with ADLS Gen2, Key Vault
- Strong SQL expertise across large datasets; performance tuning (joins, partitions, file sizing)
- Data quality at scale (e.g., Great Expectations/Deequ), monitoring and alerting; debug/backfill playbooks
- Experience with DevOps: Git branching, code reviews, unit/integration testing (pytest/dbx), CI/CD (Azure DevOps/GitHub Actions)
- Infrastructure as Code (Terraform or Bicep) for Databricks workspaces, cluster policies, ADF, storage
- Observability & cost control: Azure Monitor/Log Analytics; cluster sizing, autoscaling, Photon; cost/perf trade-offs
- Proven experience collaborating with cross-functional stakeholders (analytics, data governance, product, security) to ship and support data products
Nice to Haves
- Advanced degree in computer science, data science, information systems, information science or a related field
- Certifications such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning professional, or other AI/ML/cloud/MLOps certifications
Benefits
- Generous Medical, Dental, Vision And Other Great Benefits
- Paid parental and medical leave programs
- 401(k) with a company match component and profit sharing
- 15 days of paid time off plus company holidays
- Hybrid work model with flexibility
- Tuition reimbursement and student loan repayment assistance
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