Machine Learning Engineer (Contract Position)

Create multi-agent systems and equip AI models with function/tool-calling capabilities Design and implement RAG systems to ground AI responses in enterprise data Assess and integrate AI models (e.g. LLMs)ensuring optimal performance and reliability Optimize agentic workflows and AI agents for production use cases Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them Collaborate with platform teams,data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch Proven experience working with Large Language Models (LLMs) Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns Experience with data preprocessing, feature engineering, and model selection and evaluation techniques Knowledge of statistical and mathematical concepts relevant to machine learning, such as probability, linear algebra, and optimization Understanding software development best practices, including version control, testing, and documentation Excellent problem-solving and debugging skills, with the ability to identify and resolve issues quickly and effectively