FULLY REMOTE ScolerTec is seeking multiple AI/ML Engineers to design, develop, deploy, and govern production AI/ML solutions, including Generative AI, Agentic AI, LLM applications, RAG pipelines, predictive models, forecasting, and advanced analytics.

Key Responsibilities

Design and deploy ML, GenAI, Agentic AI, predictive, and forecasting solutions. Develop LLM applications, RAG pipelines, and AI agents. Evaluate foundation and open-source/commercial models. Build MLOps/LLMOps pipelines. Automate training, testing, deployment, monitoring, rollback, and retraining. Monitor model drift and degradation. Implement Responsible AI, explainability, bias testing, privacy, and security. Address hallucination, prompt injection, data leakage, and model-risk issues. Maintain model cards and AI governance artifacts. Recommend AI tooling and reusable architectures. Qualifications 10+ years specialized experience at the required expert level. Machine learning/deep learning/NLP. Python, SQL. TensorFlow, PyTorch, scikit-learn or XGBoost. SageMaker, Bedrock, Azure ML, or Vertex AI. MLOps/LLMOps. RAG, vector databases, prompt engineering, Agentic AI. Responsible AI/governance. AWS ML Specialty or Google Professional ML Engineer