Job
Description
Expertise in developing Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) solutions, including experience with transformer models (e.g., BERT, GPT, T5). • Proficiency in developing Natural Language Processing (NLP) solutions, leveraging state-of-the-art deep learning architectures. • Expert-level knowledge of Python programming, along with experience in production-level Python scripting, API development, and coding. • Experience with Python-based frameworks such as FastAPI, Streamlit, and others. • Experience in working on Linux environments, including shell scripting. • Hands-on experience with SQL ecosystems and proficiency in working with data retrieval systems like Solr in Python. • Strong knowledge of statistical modeling and the ability to apply statistical techniques to analyze datasets. • Experience with Cloud Native technologies from Azure and AWS, including services such as Cognitive Search, Form Recognizer, and related AI offerings. • Solid understanding of computer science fundamentals (data structures, algorithms, operating systems, databases). • Good communication and organizational skills with a focus on detail, especially when working across teams of engineers, data scientists, and product designers. • Excellent problem-solving skills, with a strong attention to detail and the ability to thrive in a fast-paced, distributed technical environment. • Passionate about emerging technologies and AI trends, with a strong drive for continuous innovation and improvement. • Self-motivated, able to manage priorities independently while working on multiple projects concurrently Show more Show less
