Job Description

Position Overview

• Location Type: Remote
• Employment Type: Full Time
• Company: Level AI

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!

Requirements

• Education: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes
• Experience: 3-5 years of relevant work experience with a top technology company in computer science or mathematics-related fields.
• Technical Skills:
  • Machine Learning and NLP
  • Transformer-based Language Models (BERT, DeBERTa, Flan-T5, Mistral, Llama, etc.)
  • Deep Learning frameworks (Pytorch)
  • Common machine learning libraries (scikit-learn, numpy, pandas, NLTK)
  • ML model deployments (REST API, Docker, Kubernetes)
  • Cloud platforms (AWS/Azure/GCP) – desirable
  • Basic data structures and algorithms

Responsibilities

• Understand customers’ needs and innovate using cutting-edge Deep Learning techniques.
• Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others.
• Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services.

Application Instructions

• (No specific application instructions provided in the text.)