AI Engineer
Category: Data & AI - Services Job
Your team
Join a prestigious global organization with a 50-year legacy, collaborating with some of the world’s leading enterprises. As India’s largest multinational business group, they leverage the expertise of over 500,000 highly skilled consultants across 46+ countries. Renowned for excellence in Data & Analytics, Capital Markets, and Post Trade services, the organization continues to shape the future of global business solutions through innovation, industry leadership, and an unwavering commitment to quality.
Your job
- You will design and implement generative AI models (e.g., GPT, GANs) for natural language processing, image generation, and other applications.
- You will develop machine learning models to analyze large datasets and provide actionable business insights.
- Ability to collaborate with cross-functional teams to deliver AI-powered solutions aligned with business objectives.
- You will stay abreast of the latest advancements in generative AI, machine learning, and data science methodologies.
- Proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
- You should have experience with cloud computing platforms such as AWS, Azure, or GCP.
- You should also possess strong analytical and problem-solving skills, with experience handling large datasets.
Capabilities
- You must have expertise in Generative AI and data science to develop state-of-the-art models, uncover data-driven insights, and drive innovation for clients across diverse industries.
- You will design, develop, and deploy AI/ML models for enterprise applications.
- You should work with cloud platforms (GCP, AWS, Azure) to deploy AI models and ensure a scalable AI architecture.
- You should have experience with MLOps practices and AI model governance, along with knowledge of LLMs, transformers, and deep learning architectures.
- Ability to collaborate with cross-functional teams to deliver end-to-end AI solutions.
- Experience with NLP, Computer Vision, or Deep Learning projects
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

