ai engineer

EY is a global professional services organization that provides assurance, consulting, strategy, tax, and transaction services to clients across more than 150 countries. The firm leverages data, AI, and advanced technology to help clients address complex business challenges, drive transformation, and build long-term value.

• Contribute to the design and implementation of state-of-the-art AI solutions;
• Assist in the development and implementation of AI models and systems using LLMs and generative AI;
• Collaborate with stakeholders to identify business opportunities and define AI project goals;
• Evaluate the potential applications of generative AI techniques in solving enterprise challenges;
• Develop innovative solutions for enterprise industry use cases using generative AI;
• Integrate with APIs and libraries such as Azure Open AI GPT models and Hugging Face Transformers;
• Implement and optimize end-to-end pipelines for generative AI projects;
• Utilize vector and NoSQL databases to handle large-scale datasets;
• Implement similarity search algorithms for information retrieval;
• Tailor generative AI solutions to specific business requirements in collaboration with domain experts;
• Conduct research on advanced AI techniques including transfer learning, domain adaptation, and model compression;
• Establish evaluation metrics to assess the quality and relevance of AI outputs;
• Ensure compliance with data privacy, security, and ethical standards;
• Curate, clean, and preprocess large-scale datasets.

• Bachelor’s or Master’s degree in computer science, engineering, mathematics, or a relevant field;
• Minimum 3 years of experience in Data Science and Machine Learning;
• In-depth knowledge of machine learning, deep learning, and generative AI;
• Proficiency in Python, R, and frameworks like TensorFlow or PyTorch;
• Strong understanding of NLP techniques such as BERT, GPT, or Transformer models;
• Familiarity with computer vision techniques;
• Experience with cloud platforms like Azure, AWS, or GCP;
• Expertise in data engineering, curation, and preprocessing;
• Strong mathematical and quantitative skills including calculus, linear algebra, and statistics;
• Nice to have: Application of trusted AI practices, DevOps and MLOps practices, CI/CD pipeline implementation, experience with Docker, Kubernetes, and Git, monitoring and logging tool implementation, experience with lean/agile software development.

• 13Th salary and yearly bonus;
• Provident Fund;
• Private Medical and Life Insurance;
• Flexible working arrangements;
• Friday afternoon off;
• EY Tech MBA and EY MSc in Business Analytics;
• EY Badges digital learning certificates;
• Mobility programs;
• Paid Sick Leave;
• Paid Paternity Leave;
• Yearly wellbeing days off;
• Maternity, Wedding and New Baby Gifts;
• EY Employee Assistance Program.