OneOrigin
Location
Bangalore | India
Job description
OneOrigin is one of the fastest-growing Technology Companies in the world, headquartered along the coastline of North East America, in Norwalk, Connecticut. 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.
About the Role :
We are looking for a highly skilled Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Generative AI, with a preferred focus on intelligent document processing.
The ideal candidate will have 5-8 years of experience in machine learning research and development, with a strong background in LLMs, generative modeling, and intelligent document processing techniques. Key Responsibilities: Research and Development:
● Lead research efforts in the development and optimization of Large Language Models (LLMs) and Generative AI algorithms for intelligent document processing applications.
● Stay updated with the latest advancements in LLMs, generative modeling techniques, and intelligent document processing technologies. Algorithm Development:
● Design and implement advanced algorithms for training and fine-tuning LLMs and generative AI models tailored for intelligent document processing tasks.
● Develop innovative solutions for document understanding, information extraction, and content generation using state-of-the-art techniques. Model Training and Optimization:
● Develop scalable and efficient training pipelines for LLMs and generative AI models optimized for document processing tasks.
● Optimize model performance in terms of accuracy, efficiency, and scalability, leveraging techniques such as hyperparameter tuning and model compression. Intelligent Document Processing: © OneOrigin 2024 1
● Apply machine learning techniques to automate document processing tasks such as text extraction, entity recognition, document classification, and semantic analysis.
● Develop and deploy end-to-end document processing solutions integrating LLMs and generative AI models with intelligent document processing workflows. Collaboration and Leadership:
● Collaborate closely with cross-functional 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:
● Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or related field.
● 6-8 years of experience in machine learning research and development, with a focus on LLMs, generative AI, and intelligent document processing.
● Expertise in deep learning frameworks such as
● Proficiency in programming languages such as Python, with experience in software development best practices and version control systems.
● Strong understanding of machine learning fundamentals, including optimization algorithms, and model evaluation techniques.
● Experience with intelligent document processing techniques such as OCR (Optical Character Recognition), NLP (Natural Language Processing), and document understanding. Preferred Skills:
● Familiarity with document processing frameworks and libraries such as Tesseract, ● Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Apache Spark, Hadoop).
● Strong analytical and problem-solving skills, with a passion for pushing the boundaries of machine learning and artificial intelligence in document processing applications.
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