AI Engineer

About the role

We are looking for an AI Engineer to drive advanced analytics projects and develop cutting‑edge machine‑learning solutions. You will work closely with data engineering, ML operations, and project management teams to deliver end‑to‑end AI applications.

Key responsibilities

• Deliver analytics projects from conception to production.
• Apply advanced modeling techniques such as graphical models, Bayesian inference, NLP, computer vision, neural networks, SVM, and random forests.
• Develop deep‑learning solutions for voice and face recognition.
• Design, implement, and fine‑tune LLM and NLP algorithms for chatbots, sentiment analysis, and conversation summarization.
• Collaborate with cross‑functional teams to ensure seamless integration and deployment of AI models.

Required profile

• Bachelor’s or Master’s degree in Computer Science, IT, Operations Research, Statistics or a related field.
• At least 1 year of hands‑on experience with Python and its data‑science ecosystem.
• Basic understanding of banking and financial products and services.

Required skills

• Python
• scikit‑learn, NumPy, Pandas, Matplotlib
• PyTorch or TensorFlow
• Large Language Models, Generative AI, NLP
• Machine Learning and Deep Learning techniques
• Graphical models, Bayesian inference
• Computer Vision, neural networks, SVM, Random Forest
• Voice recognition, face recognition, sentiment analysis, chatbot development, summarization