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Capgemini
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
We seek an innovative professional with expertise in AI tools like Copilot to boost engineering productivity.
The role involves identifying bottlenecks, proposing tailored GenAI solutions, and integrating them into
networking product development to streamline workflows and drive AI adoption across teams.
Technologies:
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GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot,
Agentic AI, AI-powered tools, Advanced python for Datascience, Flash , REST API,
debugging tools, parser tools, troubleshooting and investigating capabilities.
Required Qualifications:
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2+ years using GitHub Copilot, OpenAI, and other AI coding tools to boost development productivity.
2+ years in GenAI: model design, fine-tuning, and deployment.
3+ years in Python: building AI/ML pipelines, automation tools, and data processing scripts.
Hands-on experience applying GenAI/ML for code generation, summarization, workflow automation, and virtual assistants.
Delivered AI-driven impact in 2–3 engineering projects.
Ability to identify and develop use cases in BI, automation, and areas like smart troubleshooting and adaptive testing.
Proficient in LLMs, NLP, and AI/ML for software and networking applications.
Knowledge of integrating AI with platforms like Webex, Zoom, and Teams via APIs.
Skilled in scripting, automation, and AI-augmented workflows.
Experienced in Agile/Scrum.
Strong problem-solving, communication, and mentoring skills; able to work independently and collaboratively.
Desired Skills:
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GitHub Copilot certification.
Experience with networking products software development.
Familiarity with CI/CD, DevOps, and automation tools.
Understanding of responsible AI practices.
Experience with data analysis and visualization for AI productivity.
Knowledge of cloud-based AI services and integrations.
Python, Pandas, SQL, Sklearn, LangChain, Pytest, FastAPI, Flask,Flash , REST API,
Machine Learning Algorithms, Data preprocessing, GenAI Algorithms, LLM's, NLP, Hugging Face, RAG, OpenAI models, Microsoft and GitHub Copilot,
Advanced python for Datascience, Agentic AI, AI-powered tools, debugging tools, parser tools, troubleshooting and investigating capabilities.
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.
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