AIML Developer
AIML Developer
Posted on :
16-03-2024
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1 Vacancy
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Job Description
Req ID : 2633792
Job Title: Senior Data Scientist (NLP & LLMs)
Company Overview:
OneOrigin is one of the fastestgrowing Technology Companies in the world headquartered at Scottsdale Arizona. With a mission to deliver value through astounding focus and exceptional innovative mindset OneOrigin is empowering the technology shift within the Education sector from a reactive state to a proactive spirit.
Founded in 2015 OneOrigin has an international footprint with a Global Solution Delivery unit at SkySong Innovation Center in Scottsdale Arizona Unit in Dubai UAE and Global Development Center in Bangalore India. Dedicated to innovation OneOrigin designs and delivers cuttingedge products & solutions around Artificial Intelligence Data & Analytics Rapid Web Development Virtual & Mixed Reality and Cloud Computing guiding the path to a meticulous Digital Transformation for its customers.
With its StateoftheArt products SiaTM and SpotSearchTM OneOrigin is part of an Elite Disrupt companies list alongside being featured on wellknown technology forums such as TechCrunch GSVand Educause.
About the Role:
We are looking for a highly skilled Senior Data Scientist with solid experience in deep learning techniques for NLP applications (information extraction context inference) and preferably experienced with Large Language Models (LLMs). The ideal candidate will have 68 years of experience in machine learning research and development creating robust data pipelines finetuning language models guiding the development of scalable pipelines and guiding model optimization tasks .
Key Responsibilities:
- Research and Development:
- Apply machine learning techniques to automate document processing tasks such as text extraction entity recognition document classification and semantic analysis.
- Develop and deploy endtoend document processing solutions integrating LLMs and other models including complex pre and postprocessing flows.
- Lead research efforts in the development and optimization of models (DL LLMs) for document processing applications.
- Stay updated with the latest advancements in data science state of the art.
- Develop innovative solutions for document understanding information extraction and content generation using stateoftheart techniques.
- Iterative Model Training and Optimization:
- Improve existing models for efficacy for document processing/information extraction tasks in complexcontext scenarios.
- Optimize model performance in terms of accuracy efficiency and scalability leveraging techniques such as hyperparameter tuning and model compression.
Collaboration and Leadership:
- Collaborate closely with crossfunctional teams including software engineers and product managers to integrate machine learning models into intelligent document processing solutions.
- Provide technical leadership and mentorship to junior members of the machine learning team fostering a culture of innovation and excellence.
Required Skills and Qualifications:
- Basic academic qualification Bachelors degree in Computer Science or Mathematics.
- Preferred academic qualification Masters or Ph.D. degree in Computer Science or Artificial Intelligence/Machine Learning.
- 68 years of experience in machine learning research and development with a focus on deep learning in NLP applications. Knowledge on transformer based models / LLM experience is a huge plus. Bonus points for candidates focusing on document processing/information extraction applications.
- Expertise in deep learning frameworks such as PyTorch Tensorflow etc.
- Proficiency in programming languages such as Python with experience in software development best practices and version control systems.
- Working knowledge of openAI api s huggingface and langchain
- Adept at working with vector based databases like PincoDB ChromaDB
- Experience in handling continuous Monitoring and Analytics for deployed models
- Deeper understanding of MLops
- Knowledge on model optimizations using Quantizations Pruning Knowledge Distillation etc.
- Experience working in teams of at least 610 people in a collaborative environment.
- Familiarity with document processing frameworks and libraries such as Tesseract paddle paddle Doc OCR etc.
- Experience or good familiarity with data pipeline tools such as Databricks Airflow is good to have
- Experience with cloud computing platforms (e.g. AWS Azure GCP) and distributed computing frameworks (e.g. Apache Spark Hadoop).
- Strong analytical and problemsolving skills with a passion for pushing the boundaries of machine learning and artificial intelligence in document processing applications.
artificial intelligence,nlp,machine learning
Employment Type
Full Time
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