Ready to turn bold ideas into real-world impact?
 At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. 
 
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Inviting applications for the role of Data Scientist, Azure Generative AI & Advanced Analtyics!

In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. The ideal candidate will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a critical role in driving AI-driven insights and automation within our business. AI Insights and Reporting tools

Responsibilities

• Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
• Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services.
• Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources.
• Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently.
• Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions.
• Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases.
• Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
• Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
• Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
• Ensure model explainability, fairness, and compliance with responsible AI principles.

·       Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. [List of responsibilities]

Qualifications we seek in you!

Minimum Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Relevant years of experience in data science, machine learning, AI applications, and at least experience in generative AI prompt engineering, creating custom models
• Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and MLflow.
• Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, and Azure Data Factory).
• Expertise in LLMs, transformer architectures, and embeddings.
• Experience in building and optimizing end-to-end data pipelines.
• Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques.
• Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering.
• Strong analytical skills with the ability to translate business requirements into AI/ML solutions.
• Excellent problem-solving, critical thinking, and communication skills.

Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus.

Preferred Qualifications/ Skills

• Experience with multi-modal AI models and computer vision applications.
• Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs.
• Certifications in Microsoft Azure AI, Data Science, or ML Engineering.

Qualifications

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Why join Genpact?
•    Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
•    Make an impact – Help global enterprises solve business challenges that matter 
•    Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
•    Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 
•    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.  
Let’s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.