What are the responsibilities and job description for the Senior Cloud AI/ML Specialist position at Chabez Tech LLC?
| 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. | ||
| Years | Required/Preferred | Experience |
| Required | Cloud 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). | |
| Required | DevOps: Ansible, CI/CD, Docker and Kubernetes experience. | |
| Required | Databases: SQL (PostgreSQL, MySQL) and NoSQL/vector databases. | |
| Required | Scripting: Proficient in both Bash and PowerShell for automation. | |
| Required | CI/CD Experience: Azure DevOps, GitHub Actions, Jenkins, or similar automation pipelines. | |
| Required | Python: 3-5 years production experience, this is your primary language. | |
| Required | NLP/LLMs: Experience with transformers (BERT, GPT, T5), RAG systems, fine-tuning, prompt engineering, or building LLM applications. | |
| Required | Time Series: Forecasting models, anomaly detection, sequential data modeling, or real-time monitoring systems. | |
| Required | Recommender Systems: Collaborative filtering, ranking models, personalization engines, or content recommendations. | |
| Required | MLOps Tools: Production experience with MLflow, Weights & Biases, Kubeflow, Airflow, or similar platforms. | |
| Required | Distributed Training: Large-scale model training, multi-GPU/multi-node setups, efficient data parallelism. | |
| Required | Computer Vision: Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or real-time inference. | |
| Required | Feature stores (Feast, Tecton) or advanced feature engineering. | |
| Required | Model optimization: quantization, pruning, knowledge distillation. | |
| Required | LLM Models: Ollama, Huggingface, or other non-frontier models | |
| Required | AI/ML Production: Built and deployed 2-3 ML models serving real users, not just experiments. | |
| Preferred | Experience with Geospatial Information Systems (GIS) and analyzing spatial data. | |
| Preferred | Prior experience in the transportation, logistics, or smart city sectors. | |
| Preferred | Background in Computer Vision (object detection, image segmentation) applied to infrastructure or vehicular data. | |
| Preferred | Familiarity with public sector data compliance, security, and governance standards. | |
| Preferred | Experience with the Unreal gaming engine and real world digital twinning | |
| Preferred | Experience with Google Maps Cesium API | |
| Preferred | Experience with Polygonflow Dash and its capabilities |