Lead Machine Learning Engineer - NLP

Overview

Lead AI development in NLP applications.

Responsibilities

• Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment.
• Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including Large Language Models and related emerging technologies.
• Contribute to both ML modeling as well as building/ maintaining production systems that power AI capabilities on the product.
• Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale
• Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders.
• Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem.
• Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of the Observe.AI NLP platform.
• Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP.
• 5+ years of industry experience in building large-scale NLP systems.
• Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications.
• Good understanding of recent trends in NLP around transformers, language models, textclassification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc.
• Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch,Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production.
• Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
• Excellent communication, collaboration skills, and presentation skills.
• Published papers in top NLP conferences or workshops are a plus
• Relevant open-source contributions are a plus.
• Excellent medical insurance options and free online doctor consultations
• Yearly privilege and sick leaves as per Karnataka S&E Act
• Generous holidays (National and Festive) recognition and parental leave policies
• Learning & Development fund to support your continuous learning journey and professional development
• Fun events to build culture across the organization
• Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)