Technical Lead

20 hours ago

Hyderabad, Telangana, India Kore Full time ₹ 20,00,000 - ₹ 25,00,000 per year
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

● 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, 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

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