Machine Learning Developer

Job Description

About Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Role Overview

As a Mid-Level Machine Learning Engineer, you’ll develop, deploy, and optimize AI models in production environments. You’ll collaborate with senior engineers, work on advanced ML systems, and solve complex AI challenges.

Key Responsibilities

• Build and fine-tune ML and deep learning models using TensorFlow, PyTorch, Hugging Face.
• Optimize LLMs with LoRA, QLoRA, and PEFT techniques.
• Integrate Graph Databases (Neo4j, TigerGraph) and Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB).
• Design neural architectures like Transformers, GANs, Diffusion Models.
• Develop NLP, retrieval systems, and multimodal AI solutions.
  
  

Your Profile

• Bachelor’s/Master’s in Computer Science, Data Science, AI, or related fields.
• 6–9 years in ML, Generative AI, NLP, or graph-based AI.
• Strong Python skills and ML libraries (NumPy, Pandas, Scikit-learn).
• Hands-on LLM fine-tuning and multimodal AI experience.
• Knowledge of cloud-based ML deployment and MLOps practices.
  
  

Primary Skills

• Multimodal AI techniques (text, images, etc.).
• Continuous deployment and monitoring of AI models.
  
  

What You'll Love About Working Here

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.