GenAI AiML Engineer

at  Capgemini

JOB DESCRIPTION

Job Title: GenAI AiML Engineer

REQUIRED SKILLS AND EXPERIENCE

• Strong foundation in AI/ML, with expertise in NLP, machine learning, and deep learning techniques.
• Experience in developing and deploying AI/ML models in a production environment.
• Proficiency in programming languages such as Python, R, or Java.
• Knowledge of contact center operations and customer experience principles.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and AI/ML tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

DESIRED SKILLS AND EXPERIENCE

• Experience with GenAI technologies and applications.
• Knowledge of contact center automation tools and platforms.
• Experience working in the financial services industry.

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

TO DESIGN, DEVELOP, AND IMPLEMENT ADVANCED AI/ML MODELS AND SOLUTIONS WITHIN THE CONTACT CENTER ENVIRONMENT, SPECIFICALLY FOCUSING ON GENERATIVE AI (GENAI) INITIATIVES. THE ROLE INVOLVES COLLABORATING WITH CROSS-FUNCTIONAL TEAMS TO ENHANCE CUSTOMER EXPERIENCE, OPERATIONAL EFFICIENCY, AND BUSINESS OUTCOMES.

• Model Development:
• Develop and refine AI/ML models, including natural language processing (NLP), machine learning, and deep learning techniques, to address specific contact center challenges.
• Research and implement cutting-edge GenAI technologies for applications such as conversational AI, content generation, and intelligent automation.
• Collaborate with data scientists and engineers to ensure data quality, feature engineering, and model performance.
• Solution Implementation:
• Integrate AI/ML models into contact center systems and platforms, ensuring seamless integration and optimal performance.
• Develop and deploy AI-powered applications, such as chatbots, virtual agents, and intelligent automation tools.
• GenAI Initiatives:
• Lead or contribute to GenAI projects within the contact center, exploring innovative use cases and driving business value.