Lead Machine Learning Engineer

Welcome to Level AI – a Series C startup in Mountain View, CA, transforming the Customer Experience landscape with top-tier VC support and Silicon Valley expertise. Our mission: revolutionize customer sales experiences through cutting-edge speech AI, NLP/NLU, and information retrieval systems.

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, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us!

Position Overview: As a Lead Machine Learning Engineer - NLP, you will play a crucial role in developing, deploying, and maintaining cutting-edge machine learning models across various domains. You will work closely with ML/NLP Engineers, software engineers, and other cross-functional teams to build scalable and high-performance machine learning & NLP solutions that drive business impact.

Competencies: Python, NLTK, deep learning, machine learning, coding, problem solving, communication

Roles and Responsibilities :

• Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions.
• 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 company’s products and services.
• Optimize existing deep learning models for performance, scalability and efficiency.
• Build, deploy and own scalable production NLP pipelines.
• Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks.
• Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues.
• Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc.

We'll love to explore more about you if you have :

• Qualification: B.E/B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company with computer science or mathematics-related fields and 4+ 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.
• Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, etc.
• 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.

To learn more visit : [https://thelevel.ai/>

Funding : [https://www.crunchbase.com/organization/level-ai>

LinkedIn : [https://www.linkedin.com/company/level-ai/>