Artificial Intelligence Engineer

As an AI Engineer at LearningMate, you will play a crucial role in building intelligent and scalable ML systems for next-generation educational experiences. Here is a breakdown of your role: Responsibilities: - Build and maintain scalable ML pipelines for structured and unstructured data, such as documents, images, and user activity logs. - Develop prompt-based and retrieval-augmented generation (RAG) systems using large language models (LLMs) for education-centric applications. - Design and implement data preprocessing workflows, including OCR with Tesseract, PDF/image parsing, and structured record handling. - Drive the development of internal ML tools for tasks like content moderation, content generation, and orchestration. - Collaborate with cross-functional stakeholders to transform vague problem statements into robust ML solutions. - Rapidly prototype, evaluate, and iterate on models, contributing to production-grade deployments. Requirements: Education: - Bachelors degree in data science, Mathematics, Statistics, Computer Science, or a related field with a minimum of two years of experience or equivalent combination. Experience: - 4+ years of experience as a Data Scientist or Machine Learning Engineer. - Proficiency in working with LLMs (OpenAI, Claude, Mistral, etc.), prompt engineering, and preprocessing of text and image data. - Strong foundation in Python and libraries like scikit-learn, Pandas, NumPy, and data visualization tools. - Knowledge of OCR tools (e.g., Tesseract), LangChain, HuggingFace, or Vector Databases is advantageous. - End-to-end experience in building and deploying ML pipelines from data ingestion to model serving. - Bonus: Experience in EdTech, educational content generation, or NLP-heavy applications. LearningMate, as an equal opportunity employer, is committed to embracing diversity, equity, and inclusion in the workplace. As an AI Engineer at LearningMate, you will play a crucial role in building intelligent and scalable ML systems for next-generation educational experiences. Here is a breakdown of your role: Responsibilities: - Build and maintain scalable ML pipelines for structured and unstructured data, such as documents, images, and user activity logs. - Develop prompt-based and retrieval-augmented generation (RAG) systems using large language models (LLMs) for education-centric applications. - Design and implement data preprocessing workflows, including OCR with Tesseract, PDF/image parsing, and structured record handling. - Drive the development of internal ML tools for tasks like content moderation, content generation, and orchestration. - Collaborate with cross-functional stakeholders to transform vague problem statements into robust ML solutions. - Rapidly prototype, evaluate, and iterate on models, contributing to production-grade deployments. Requirements: Education: - Bachelors degree in data science, Mathematics, Statistics, Computer Science, or a related field with a minimum of two years of experience or equivalent combination. Experience: - 4+ years of experience as a Data Scientist or Machine Learning Engineer. - Proficiency in working with LLMs (OpenAI, Claude, Mistral, etc.), prompt engineering, and preprocessing of text and image data. - Strong foundation in Python and libraries like scikit-learn, Pandas, NumPy, and data visualization tools. - Knowledge of OCR tools (e.g., Tesseract), LangChain, HuggingFace, or Vector Databases is advantageous. - End-to-end experience in building and deploying ML pipelines from data ingestion to model serving. - Bonus: Experience in EdTech, educational content generation, or NLP-heavy applications. LearningMate, as an equal opportunity employer, is committed to embracing diversity, equity, and inclusion in the workplace.