Senior Machine Learning Engineer

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June 18

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Level AI

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Artificial Intelligence • SaaS • Enterprise

Level AI is a company specializing in artificial intelligence solutions aimed at enhancing customer experience and operational efficiency. It offers a comprehensive suite of tools designed for contact centers, including automated quality assurance, real-time agent assistance, and customer interaction analytics powered by generative AI. Level AI's solutions help businesses uncover insights from customer interactions, optimize contact center operations, and empower agents through AI-driven coaching and feedback. Trusted by leading companies across various sectors, Level AI focuses on transforming service and contact center teams into drivers of competitive advantage and growth.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $20M Series B on 2022-03

📋 Description

• 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

• Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP. • Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc. • 3+ years of experience working with LLMs in large-scale environments. • Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs. • Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc. • Deep familiarity with internals of at least a few Machine Learning algorithms and concepts. • Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc. • Experience with ML model deployments using REST API, Docker, Kubernetes, etc. • Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable. • Knowledge of basic data structures and algorithms. • Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus.