MACHINE LEARNING ENGINEER (Contract Position)

Create multi-agent systems and equip AI models with function/tool-calling capabilitiesDesign and implement RAG systems to ground AI responses in enterprise dataAssess and integrate AI models (e.g. LLMs)ensuring optimal performance and reliabilityOptimize agentic workflows and AI agents for production use casesTesting and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputsPerformance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon themCollaborate with platform teams,data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processesParticipate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutionsStrong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorchProven experience working with Large Language Models (LLMs)Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patternsExperience with data preprocessing, feature engineering, and model selection and evaluation techniquesKnowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimizationUnderstanding software development best practices, including version control, testing, and documentationExcellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively