Senior AI Engineer
peoplestrong
Job Description
Design, develop, and maintain robust data pipelines and workflows for AI/ML tasks. • Perform root cause analysis (RCA) on model performance, data issues, and system failures; proactively identify and resolve bottlenecks. • Write clean, efficient, and scalable Python code for AI/ML applications. • Build, document, and maintain backend APIs using FastAPI to support real-time and batch inference services. • Apply machine learning and deep learning techniques for text classification, image classification, and other predictive tasks. • Develop and integrate NLP models for tasks such as sentiment analysis, summarization, entity recognition, and more. • Use YOLO, OpenCV, and OCR libraries (e.g., Tesseract, EasyOCR) for computer vision applications. • Leverage Generative AI models (e.g., OpenAI GPT, Google Gemini) to create intelligent interfaces and solutions. • Manipulate and visualize data using NumPy, Pandas, Matplotlib, and Seaborn. • Work with NoSQL databases (e.g., MongoDB, Redis) for scalable data storage and retrieval. • Operate and deploy solutions effectively in Linux-based environments. • Participate in code reviews, debugging, and performance optimization. • Follow through on assigned action items, timelines, and deliverables in an Agile delivery model. |