Senior AI Engineer

Job description

**Job Purpose** We are looking for a proactive and versatile AI Engineer to join our Data AI POD team. - You will play a key role in building scalable AI systems that span data engineering, ML/DL, Generative AI, and production-grade APIs. - This is a hands-on, impact-driven role where problem-solving, analytical thinking, and a deep understanding of both code and data are essential. - The ideal candidate will have experience in Text and Image classification, NLP techniques, computer vision (YOLO, OCR), and be comfortable developing backend services in Python/Linux. - You will also work with cutting-edge GenAI models like OpenAI GPT and Google Gemini to solve business problems with intelligent automation. **Duties and Responsibilities** 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. **Required Qualifications and Experience** Required Skills & Qualifications - Strong experience in Python programming and development in Linux environments. - Solid background in data engineering and ETL pipeline design. - Hands-on experience with ML/DL frameworks (e. - g. - , TensorFlow, PyTorch, Scikitlearn). - Proven experience in NLP tasks and classification problems (text/image). - Experience with YOLO, OCR, and OpenCV for computer vision projects. - Knowledge of Generative AI models like GPT, Gemini, Claude, or LLaMA. - Strong problem-solving and analytical skills; ability to work independently on complex technical issues. - Skilled in building and maintaining FastAPI-based APIs and services. - Proficiency with data manipulation and visualization tools (NumPy, Pandas, Matplotlib, Seaborn). - Experience integrating with NoSQL databases. - Excellent multitasking and project follow-through capabilities in a fast-paced team environment. - Familiarity with Git, VS Code, and modern development practices. - Good to Have - Production experience deploying AI/ML models in cloud or on-prem environments. - Experience with MLOps practices, model versioning, and monitoring. - Familiarity with containerized deployment using Docker and/or Kubernetes. - Experience working in a POD delivery model or Agile squads.