Technical Lead - ML & NLP

Kore.ai is a rapidly scaling enterprise AI company with nearly 100% year-over-year growth, specializing in AI agent platform for Global 2000 enterprises. We empower these organizations with solutions for complex, mission-critical AI implementations that demand sophisticated end to end platform and solutions, enterprise-grade security, and mature release management.

Kore.ai accelerates customer value from AI with control and flexibility through comprehensive business solutions: AI for Work, AI for Service, and AI for Process. These are built on the Kore.ai Agent Platform, which enables a standardized approach to developing and deploying agentic capabilities across the enterprise at scale.

Our ecosystem-agnostic design provides the freedom to choose models, data, channels, applications, and cloud deployment. We also offer build-friendly no-code/pro-code options to expand your AI bench.

For over a decade, we have been trusted by over 400 partners and 300+ Fortune 2000 companies as their AI strategy resource. We are committed to enabling the future of the enterprise – a system of agents supporting operations and their humans to exponentially drive business growth.

RESPONSIBILITIES:

 

●                Lead and manage a team of NLP engineers and scientists.

●                Design and develop innovative NLP solutions for various business problems.

●                Stay up-to-date on the latest advancements in NLP research and implement them into projects.

●                Collaborate with cross-functional teams (e.g., data engineering, product management) to ensure successful NLP integration.

●                Oversee the data pipeline for NLP projects, ensuring data quality and efficiency.

●                Develop and maintain NLP models for various tasks (e.g., text classification, sentiment analysis, machine translation).

●                Develop NLP models for various languages

●                Evaluate and monitor the performance of NLP models, iterating to improve accuracy and robustness.

●                Document and share NLP knowledge within the team and broader organization.

●                Identify and prioritize new NLP use cases within the company.

●                Recruit, interview, and hire talented NLP engineers and scientists.

●                Compelling real world experience related to machine learning OR Artificial intelligence related to Natural language processing and or Computational linguistics

●                Fine tune large language models for specific Gen AI tasks

●                Test and evaluate machine learning models to ensure accuracy and efficiency.

●                Develop process pipelines for Gen AI use cases

●                Continuously learn and stay up-to-date with the latest developments in the field of machine learning or Artificial intelligence

 

EXPERIENCE REQUIRED

●       5+ years of hands-on experience

MUST HAVE SKILLS

 

●                Minimum 5+ years of experience in Natural Language Processing.

●                Solid experience with Python programming languages

●                Strong understanding of various NLP techniques (deep learning, machine learning, statistical methods, LLMs).

●                Experience with NLP frameworks and libraries (TensorFlow, PyTorch, spaCy, NLTK).

●  Must be able to understand the NLP aspects involved in various non-English languages and implement

●  Able to understand the different NLP Models architecture and break the model and segregate it into different parts (e.g encoding, other weights, decoding)

●                Able to understand the various encoding decoding layers in models like FLAN T5, BERT

●                Must have the ability to scale the application for millions of requests

●                Application of machine learning algorithms and techniques for natural language processing.

 

OTHER SKILLS WE'D APPRECIATE

 

●       Application of Reinforcement learning with human feedback (RHLF) to a model

●       Good to have skills with big data management tools, Node.js and scripting

●       Good knowledge on content categorization algorithms

●       Research, design and development of natural language processing algorithms

 

EDUCATION QUALIFICATION

●       Graduate in Engineering OR Masters in Computer Applications