Job Description

You will work on cutting-edge machine learning projects, such as enhancing TorchServe for model serving and improving PyTorch training. Key projects include developing a Document Comprehension Engine using RNN and OCR techniques, creating AI-driven adaptive engineering systems to generate industrial designs from historical data, and building advanced QA systems that dynamically create knowledge bases from unstructured documents. You will be involved in numerous other innovative AI initiatives, contributing to the advancement of machine learning technologies. Why Choose Ideas2IT: Ideas2IT has all the good attributes of a product startup and a services company. Since we launch our products, you will have ample opportunities to learn and contribute. However, single-product companies stagnate in the technologies they use. In our multiple product initiatives and customer-facing projects, you will have the opportunity to work on various technologies. AGI is going to change the world. Big companies like Microsoft are betting heavily on this (see here and here ). We are following suit. One of our GenAI initiatives is LegacyLeap, which converts legacy applications to modern technologies. This is a complex AI problem, and you will have an opportunity to work on it. The market response to the LegacyLeap platform has been tremendous. What s in it for you Apply cutting-edge AI, ML, and GenAI to build our products and help customers with their AI initiatives. Opportunity to work with Fortune 500 customers like Facebook, Siemens, and Roche Our products allow you to bring your ideas to the table If you have a great idea, we will incubate it. Work in a culture that values capability over experience and continuous learning as a core tenant Working with the Facebook AI Research (FAIR) team on core ML projects like improving Torchserve model serving, Pytorch training, and Core Llama AI-driven Adaptive engineering to semi-automagically build industrial designs based on historical data A variety of LLM-based projects (GPT and self-hosted) like visual storyboard creator, AI Tutor, AI Recruiter, QA with RAG, etc. AI-driven approaches to increase the enrollment rate of patients in underdeveloped countries in Africa for healthcare services Here s what you ll bring 3-8 years of strong Data Science experience (statistics, Machine learning Deep learning) Software development skills in Python Has a good understanding of Deep learning algorithms - RNN, LSTM, CNN, RCNN Expert in at least one of DL frameworks like Pytorch, Tensorflow, Keras Experience using encoder-decoder architecture, statistical and Transformers models Semantic and syntactic analysis for pre-processing key phrase extraction, intent, and entity extraction Experience developing applications for NLP tasks like NLI, QA, and Sentiment analysis Good to have exposure to LLMs, Prompt Engineering, and Langchain Implementation of chatbots like Rasa, and Amazon Lex is a plus.