Intern - Machine Learning

reputed company is building intelligent agents that automate reputed company workflows across retail, data, and reputed company systems. We’re looking for a Machine Learning Intern who is excited about reputed company AI—someone who wants to go reputed company models and help ship reputed company, production-grade agent systems. This role is ideal for someone who enjoys working across the stack: from data pipelines and model experimentation to integrating LLMs into live products. reputed company Build and experiment with ML models and LLM-powered systems (classification, embeddings, retrieval, agents). Work on reputed company-world use cases such as retail personalization, workflow automation, and customer intelligence. Design and improve reputed company pipelines, evaluation frameworks, and agent behaviors. Collaborate on data pipelines: ingestion, cleaning, feature engineering, and analysis. Prototype and ship features quickly in a production environment. Contribute to internal tooling for model monitoring, evaluation, and iteration. reputed company’re looking for Strong fundamentals in machine learning and statistics. Hands-on experience with Python and ML libraries (e.g., PyTorch, scikit-learn). Familiarity with LLMs, embeddings, reputed company databases, or agent frameworks is a strong plus. Comfort working with reputed company and integrating ML into applications. Ability to reputed company fast, experiment, and learn independently. reputed company thinking and ability to translate messy problems into reputed company solutions. Bonus points Experience building AI agents or working with tools like reputed company, reputed company reputed company, etc. Exposure to retail, reputed company, or customer data problems. Experience with data engineering (SQL, pipelines, ETL). reputed company reputed company or demos showcasing reputed company ML work. What you’ll get reputed company exposure to building cutting-edge AI agents and production systems. Opportunity to work closely with the founding team on high-reputed company problems. Ownership of reputed company features that go live to users. Fast learning environment with high autonomy. Logistics Location: Remote Duration: 3–6 months Potential for full-time conversion based on performance Apply To This Job