REQUIRED SKILLS :

• 3 to 5 years of professional work experience in designing, developing, and implementing large language model (Open AI GPT’s/other popular LLM’s) implementations using Azure OpenAI service/Databricks.
• Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry,
• Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance
• segmentation, object detection, image classification, text classification, QA, translation, and text generation.
• Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer requirements.
• Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads.
• Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning workspace.
• Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch.
• Familiarity with software architecture principles, cloud computing platforms, and containerization technologies.

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, CLOUD AND DATA, COMBINED WITH ITS DEEP INDUSTRY EXPERTISE AND PARTNER ECOSYSTEM. THE GROUP REPORTED 2023 GLOBAL REVENUES OF €22.5 BILLION.

Get The Future You Want | www.capgemini.com

KEY RESPONSIBILITIES:

• Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security.
• Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions.
• Evaluate and select appropriate generative AI components and algorithms based on project objectives.
• Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing, and model building.
• Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements.