Senior AI/ML Engineer

Job Description:

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