About the role
AI summarisedDrive business value by applying advanced analytical methods, including machine learning, deep learning, and generative AI, to generate predictive and prescriptive insights from diverse data sources like image and text.
IDMOnsiteBE
Key Responsibilities
- Evaluate and apply advanced analytical methods (ML, DL, Gen AI) to generate actionable insights from image, text, and other data sources.
- Develop and deploy AI models using image processing and computer vision techniques, including deep learning frameworks like TensorFlow or PyTorch, to analyze complex image data.
- Design and develop AI agents or chatbots utilizing Large Language Models (LLM), Retrieval-Augmented Generation (RAG), and agentic frameworks.
- Deliver valuable solutions to business problems and present findings/recommendations to management, focusing on driving business impact.
Requirements
- Master's or PhD in a scientific/technical field (Data Science, CS, Math, Physics, Electrical Engineering, or Business Informatics).
- Minimum of 5 years of relevant work experience in NLP/AI/ML.
- At least 1 year of focused experience with LLM, Gen AI, or Agentic AI.
- Strong proficiency in Python for data manipulation, analysis, and modeling.
- Good understanding of machine learning and deep learning techniques.
- Familiarity with image processing concepts (e.g., object segmentation, identification).
- Excellent communication and analytical skills to interface across organizational boundaries.