Hiring: AI Engineer Company: HAVI Location: Chicago, IL Job Posted Time: 2026-09-13 10:29:34 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Azure, Azure DevOps, CI/CD, Computer Vision, Databricks, Deep Learning, Delta Lake, GANs, GCP, Git, GitHub Actions, Infrastructure as Code, Integration Testing, Kubeflow, MLOps, MLflow, Machine Learning, NLP, PySpark, PyTorch, SQL, Scala, Spark, TensorFlow, Terraform, Transformers, Vault, pytest, scikit-learn About the job Experience: •2+ years hands-on Azure Databricks (PySpark/Scala, Spark SQL, Delta Lake) Required Skills: •Lead and oversee 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 Qualifications: •Bachelor’s degree in computer science, data science, information systems, information science or a related field; advanced degree in computer science, data science, information systems, information science or a related field preferred. •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. •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. •Certifications such as Microsoft Azure AI Engineer Associate, AWS Certified Machine Learning professional, or other AI/ML/cloud/MLOps certifications a plus •Content scope: AI Engineering, Data engineering, Agentic AI and automation, and ML/AI solution operationalization •Stakeholders & Networks: Analytics and Insights, DevOps, Product Management, Technology •Working model: Individual contributor, collaborates with cross-functional team within global planning and analytics Compensation: •$105,000 - $125,000 / year •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!