Your Day to Day- Design, develop and implement LLM-based agent systems using advanced machine learning techniques
- Collaborate with other machine learning scientists and engineers to experiment and implement advanced ML/AI techniques for customer service applications
- Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, Hadoop, SQL
- Analyze data covering customer interactions, transaction history and user profiles to identify opportunities for customer service enhancement
- Build end-to-end ML pipelines from data ingestion to model deployment and monitoring
- Communicate complex concepts and the results of analyses in a clear and effective manner through creative visualization to stakeholders of varying technical levels
What You Need to Bring- Bachelor's / Master's / PhD degree relevant to Machine Learning, Computer Science, Data Science, AI, or related technical field
- Strong knowledge of LLMs, agents, LLM/Agent evaluation, and prompt engineering; experience with finetuning and reinforcement learning is a plus
- Strong knowledge of conversational AI and understanding of dialog systems. Proficient with Python, SQL, ML frameworks (PyTorch), Tableau dashboarding for data visualization, and Deep Learning/NLP
- Good business sense and logical thinking. Ability to synthesize information and generalize patterns
- Strong debugging and triaging skills to identify gaps in current solutions and suggest fixes/enhancements
- Proven ability to work independently and proficiently on well-defined projects; focuses primarily on achieving overall business objectives with speed and quality
- Effective interpersonal skills. Able to collaborate with remote teams effectively
- Skilled in presenting – can effectively communicate in large or small group settings
Other Information- This is a 5-6 months internship role starting in January 2026
Our Benefits:
Any general requests for consideration of your skills, please