Machine Learning Engineer

2 weeks ago

Bengaluru, India OneOrigin Full time

Company Overview:

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. 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 cutting-edge 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 State-of-the-Art products, SiaTM and SpotSearchTM, OneOrigin is part of an Elite Disrupt companies list, alongside being featured on well-known technology forums such as TechCrunch, GSV,and Educause. 


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 6-8 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.

● 8-12 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

● 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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