AI Architect (ONLY W2)

AI Architect / Principal AI Engineer - Remote Contract length - 3-6 months+, possibility to convert or extend Builds scalable batch/streaming pipelines and multi-source ingestion with preprocessing, normalization, and transformation for ML-ready data, including geospatial AI/ML workflows (coordinate transformations, raster/vector processing, geospatial deep learning). Engineers feature stores and metadata; implements data quality, profiling, schema enforcement, and automated validation for training and retraining. Proficiency with ML/DL frameworks (PyTorch, TensorFlow, or JAX) and at least one cloud ML platform (AWS SageMaker, Azure ML, or Google Cloud Platform Vertex AI). Familiarity with MLOps tooling (MLflow, Kubeflow, DVC, or Weights & Biases), containerization (Docker, Kubernetes), and data pipeline tools (Spark, Airflow, or dbt). Working knowledge of generative AI and LLM tooling (e.g., LangChain, RAG architectures, vector databases, fine-tuning workflows) sufficient to guide developer adoption and tool selection.