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Ready to shape the future of work?
At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
Inviting applications for the role of Lead Consultant, Gen_AI Engineer!
In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate AI engineers with GenAI.
Responsibilities
Good Understanding of LLMs and Gen AI technologies. (Azure Open AI, Lang Chain etc.)
Machine Learning, Deep Learning and GenAI techniques,
Generative Adversarial Networks (GANs)
Language Models :Proficiency in language models such as GPT (Generative Pre-trained Transformer) is essential for tasks involving text generation, translation
API Development
Cloud Computing : Cloud platforms like AWS or Azure or GCP
Experience in AI/ML Architecture .
Excellent knowledge on Python
Scale existing AI models into production on a variety of cloud platforms with GenAI
Good working knowledge on deep learning and advanced NLP techniques
Analysing the use cases of ML algorithms and ranking them by their success probability
Should be excellent with Rasa Framework or any other chatbot interface.
Performing statistical analysis and using results to improve models.
Training and retraining ML systems and models in real-world situations
Experience in Agentic AI and RAG
Qualifications we seek in you!
Minimum Qualifications / Skills
Bachelor's degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field
Master’s degree is a plus
DevOps (Good to have) – Ansible, Jenkins, ELK
Containerization – Docker, Kubernetes etc
Languages and scripting: Python, SQL
Cloud Services - AWS, GCP, Azure and Cloud Native
Analytics and AI tooling – Sagemaker, GenAI
Ensure GenAI outputs are contextually relevant
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