python developer in fintech

Capgemini is an AI-powered global business and technology transformation partner delivering business value through AI, technology, and people. It provides end-to-end services and solutions across strategy, technology, design, engineering, and business operations in more than 50 countries.

• Design, develop, and deploy AI/ML and Generative AI solutions using Python;
• Build, train, evaluate, and fine-tune machine learning and large language models using PyTorch, TensorFlow, and Keras;
• Develop Retrieval-Augmented Generation applications using LangChain, Hugging Face, and LlamaIndex;
• Implement and optimize vector database, semantic search, and hybrid search solutions;
• Fine-tune models using LoRA and QLoRA;
• Develop REST APIs and AI-driven services for enterprise application integration;
• Monitor, evaluate, and enhance model performance, scalability, reliability, and accuracy in production;
• Collaborate with business stakeholders, data scientists, and engineering teams to translate requirements into AI solutions;
• Contribute to prompt engineering, AI workflow development, and end-to-end solution implementation;
• Support deployment, testing, maintenance, and continuous improvement of AI/ML applications;
• Participate in Agile/Scrum ceremonies, code reviews, documentation, and quality assurance activities;
• Stay updated on Generative AI, LLM, and machine learning trends and share best practices.

• Strong proficiency in Python for AI/ML application development;
• Hands-on experience with machine learning and deep learning techniques;
• Expertise in PyTorch, TensorFlow, and Keras;
• Experience developing Generative AI solutions and applications;
• Strong understanding of large language models and their architectures;
• Hands-on experience with prompt engineering and model optimization;
• Knowledge of fine-tuning methodologies, including LoRA and QLoRA;
• Experience with Hugging Face libraries and model repositories;
• Proficiency in LangChain and LlamaIndex;
• Experience implementing Retrieval-Augmented Generation frameworks;
• Knowledge of vector databases and hybrid search techniques;
• Strong understanding of natural language processing concepts and applications;
• Experience with data processing, transformation, and feature engineering;
• Expertise in developing and integrating REST APIs;
• Proficiency with Git and version control best practices;
• Experience in Agile/Scrum environments and cross-functional teams;
• Strong analytical, problem-solving, and communication skills;
• Ability to design, develop, deploy, and optimize scalable AI solutions in enterprise environments.

• Hybrid work across company offices, client sites, and home; working from home 100% of the time is not available;
• Employee wellbeing support, including Mental Health Champions, Thrive, and Peppy apps;
• Training and development opportunities, including access to 250,000 courses and external certifications;
• The company is a Disability Confident Employer (Level 2) and offers interviews to candidates who declare a disability and meet the minimum essential criteria.