AI/ML, GenAI & Python Developer - Onsite NJ

CapgeminiNew York, NY
$106,230 - $145,000Onsite

About The Position

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. 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.

Requirements

  • Python
  • Machine Learning
  • Deep Learning
  • PyTorch
  • TensorFlow
  • Keras
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Fine-Tuning Techniques (LoRA, QLoRA)
  • Hugging Face
  • LangChain
  • LlamaIndex
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Hybrid Search Techniques
  • NLP
  • Data Processing
  • REST APIs
  • Git
  • Agile/Scrum

Nice To Haves

  • Agentic AI Frameworks
  • AI Model Evaluation
  • MLOps
  • Azure OpenAI
  • AWS Bedrock
  • Databricks
  • Streamlit
  • FastAPI
  • Docker
  • Kubernetes
  • Banking or Financial Services Domain Experience

Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions using Python
  • Build and fine-tune machine learning and large language models using frameworks such as PyTorch, TensorFlow, and Keras
  • Develop RAG-based applications using LangChain, Hugging Face, and LlamaIndex
  • Implement and optimize vector search and hybrid search solutions
  • Perform model training, evaluation, and fine-tuning using techniques such as LoRA and QLoRA
  • Develop APIs and AI-powered services
  • Integrate AI models with enterprise applications
  • Ensure model performance, scalability, and reliability
  • Collaborate with business and technology teams to translate requirements into AI solutions
  • Participate in Agile development, testing, deployment, and support activities

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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