Machine Learning Intern

Presage Insights is a cutting-edge startup specializing in predictive maintenance. The platform leverages AI-powered diagnostics to detect and diagnose machine failures, integrating with an inbuilt CMMS (Computerized Maintenance Management System) to optimize industrial operations. The company is expanding its capabilities in time series analysis and LLM-powered insights. As a Machine Learning Intern at Presage Insights, you will work on real-world industrial datasets, applying AI techniques to extract insights and enhance predictive analytics capabilities. Your role will involve collaborating with the engineering team to develop, fine-tune, and deploy LLM-based models for anomaly detection, trend prediction, and automated report generation. Key Responsibilities: - Research and implement state-of-the-art LLMs for natural language processing tasks related to predictive maintenance. - Apply machine learning techniques for time series analysis, including anomaly detection and clustering. - Fine-tune pre-trained LLMs (GPT, LLaMA, Mistral, etc.) for domain-specific applications. - Develop pipelines for processing and analyzing vibration and sensor data. - Integrate ML models into the existing platform and optimize inference efficiency. - Collaborate with software engineers and data scientists to improve ML deployment workflows. - Document findings, methodologies, and contribute to technical reports. Required Qualifications: - Pursuing or completed a degree in Computer Science, Data Science, AI, or a related field. - Hands-on experience with LLMs and NLP frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or similar. - Strong proficiency in Python, PyTorch, TensorFlow, or JAX. - Solid understanding of time series analysis, anomaly detection, and signal processing. - Familiarity with vector databases (FAISS, Pinecone, ChromaDB) and prompt engineering. - Knowledge of ML model deployment (Docker, FastAPI, or TensorFlow Serving) is a plus. - Ability to work independently and adapt to a fast-paced startup environment. What You'll Gain: - Hands-on experience working with LLMs & real-world time series data. - Opportunity to work at the intersection of AI and predictive maintenance. - Mentorship from industry experts in vibration analysis and AI-driven diagnostics. - Potential for a full-time role based on performance. Note: This is an unpaid internship.,