EY - GDS Consulting - AIA - AI Engineer - GIG
EYKolkata, West Bengal, India
Posted January 28, 2026
Full Time
About the Company
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
Job Description
EY is seeking a highly skilled and experienced GIG AI Engineer with a minimum of 4 years of experience to design, build, and optimize advanced AI systems. The role involves applying machine learning and data science expertise to create cutting-edge AI models and systems, and collaborating with stakeholders to identify business opportunities and define AI project goals.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR, and document intelligence
- Strong foundation in machine learning and data science: statistical analysis, feature engineering, modelling (supervised/unsupervised), NLP, optimization techniques
- Hands-on experience with generative modelling (GANs, VAEs, diffusion models) and large language models (LLMs)
- Familiarity with agentic AI concepts: designing agents that plan, act, interact, have memory/context, and orchestrate workflows
- Proficiency in Python and relevant ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
- Ability to define and build data pipelines, work with structured/unstructured data, and apply data science best practices
- Demonstrated ability to design and implement AI system architecture: modular, maintainable, scalable
- Excellent problem-solving skills and the ability to work in a fast-moving, innovative environment
- Strong communication and collaboration skills: able to interface with engineering, data science, product, and business teams
- Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models
- Familiarity with computer vision techniques for image recognition, object detection, or image generation
- Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment
- Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models
- Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
- Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels
- Understanding of data privacy, security, and ethical considerations in AI applications