AI Ops Internship

Key Skills

Aartificial intelligence, AIOps, Analytical and Problem solving, Effective communication skills, IT, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

We are seeking a highly motivated AI Ops Intern (Summer) to support our efforts in developing and implementing AI-driven solutions. As an AI Ops Intern, you will work on applying artificial intelligence, machine learning, and automation to enhance IT processes, improve system reliability, and drive operational efficiency. This is an exciting opportunity to gain hands-on experience in AI-driven IT operations, data analysis, and machine learning in a real-world setting.

In this role you will:

• Assist in developing AI and automation solutions to enhance IT operations and system performance.

• Analyze large datasets to identify patterns, trends, and anomalies related to system performance and reliability.

• Collaborate with engineers and data scientists to build machine learning models for predictive analytics and anomaly detection.

• Support the implementation of AI-driven monitoring and alerting systems.

• Contribute to the development of automation scripts and tools to improve operational efficiency.

• Participate in troubleshooting and incident resolution using AI-powered insights.

• Document findings, methodologies, and best practices for AI Ops solutions.

• Develop and integrate LLMs (Large Language Models) into applications, optimizing for performance and usability.

• Implement model distillation techniques to improve efficiency and reduce computational costs.

• Design and build Agentic AI workflows using frameworks like Langchain and n8n for automation and intelligent decision-making.

• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance LLM responses with relevant, real-time data.

You should have:

• Currently pursuing a Bachelor’s in Computer Science, Data Science, AI, or a related field from a top university.

• Strong analytical and problem-solving skills with an interest in AI and IT operations.

• Experience with programming languages such as Python, Java, or Go.

• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

• Understanding of cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is a plus.

• Basic knowledge of IT infrastructure, monitoring tools, and automation frameworks is desirable.

• Strong communication skills and ability to work in a team-oriented environment.

UP.Labs Summary:

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

Our platform is unique in three ways:

• Risk: We reward our entire team and ecosystem of partners with meaningful equity

• Technology: We build and launch scalable technology products that form the basis for each venture

• Industry Focus: We stay focused on the underlying fabric of society mobility and transportation

We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. We rapidly ideate concepts from scratch and vet them for early indicators of product-market fit.