21 Chabez Tech Jobs Hiring Near You

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.YearsRequired/PreferredExperience RequiredCloud Platforms: Experience with AWS, Azure, Google Cloud Platform, or OCI for deploying and managing ML workloads. We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, Google Cloud Platform Vertex AI, OCI AI Services). RequiredDevOps: Ansible, CI/CD, Docker and Kubernetes experience. RequiredDatabases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases. RequiredScripting: Proficient in both Bash and PowerShell for automation. RequiredCI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines. RequiredPython: 3-5+ years production experience, this is your primary language. RequiredNLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. RequiredTime Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. RequiredRecommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations. RequiredMLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms. RequiredDistributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism. RequiredComputer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. RequiredFeature stores (Feast, Tecton) or advanced feature engineering. RequiredModel optimization: quantization, pruning, knowledge distillation. RequiredLLM Models: Ollama, Huggingface, or other non-frontier models RequiredAI/ML Production: Built and deployed 2-3+ ML models serving real users, not just experiments. PreferredExperience with Geospatial Information Systems (GIS) and analyzing spatial data. PreferredPrior experience in the transportation, logistics, or smart city sectors. PreferredBackground in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. PreferredFamiliarity with public sector data compliance, security, and governance standards. PreferredExperience with the Unreal gaming engine and real world digital twinning PreferredExperience with Google Maps Cesium API PreferredExperience with Polygonflow Dash and its capabilities