About EY
EY provides assurance, consulting, tax, strategy, and transaction services in more than 150 countries and territories. Its teams use data, AI, and advanced technology to help clients address current and future challenges and create value for clients, people, society, and the planet.
Responsibilities
•Contribute to the design and implementation of state-of-the-art AI solutions
•Assist in developing and implementing AI models and systems using LLMs and generative AI
•Collaborate with stakeholders to identify business opportunities and define AI project goals
•Track advances in generative AI and evaluate applications for enterprise challenges
•Develop innovative enterprise solutions using generative AI techniques such as LLMs
•Integrate APIs and libraries, including Azure OpenAI GPT models and Hugging Face Transformers, to use pre-trained models and enhance generative AI capabilities
•Implement and optimize end-to-end generative AI pipelines, including data processing and model deployment
•Use vector databases such as Redis and NoSQL databases to handle large-scale generative AI datasets and outputs
•Implement similarity search to retrieve relevant information from generative AI outputs
•Collaborate with domain experts, stakeholders, and clients to understand business requirements and tailor generative AI solutions
•Research and evaluate advanced AI techniques, including transfer learning, domain adaptation, and model compression, to improve performance and efficiency
•Establish metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs
•Ensure AI applications comply with data privacy, security, and ethical considerations
•Curate, clean, and preprocess large-scale datasets for generative AI applications
Requirements
•Bachelor's and/or Master's degree in computer science, engineering, mathematics, or another relevant subject from a reputable university
•At least 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 TensorFlow or PyTorch
•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 Azure, AWS, or GCP and deploying AI solutions in a cloud environment
•Expertise in data curation, cleaning, and preprocessing
•Knowledge of trusted AI practices, including fairness, transparency, and accountability
•Ability to collaborate with software engineering and operations teams on AI model integration and deployment
•Strong problem-solving and analytical skills, including translating business requirements into technical solutions
•Strong communication and interpersonal skills, including effective collaboration with stakeholders at various levels
•Understanding of data privacy, security, and ethical considerations in AI applications
•Track record of driving innovation and keeping up with AI research and advances
•Strong mathematical and quantitative skills, including calculus, linear algebra, and statistics
Nice to have
•Experience with lean/agile software development, trusted AI practices, DevOps and MLOps, CI/CD pipelines, Docker, Kubernetes, Git, and monitoring and logging tools for AI model performance and reliability
Benefits
•Attractive remuneration package rewarding personal and team performance
•13th salary and yearly bonus
•Provident Fund
•Private Medical and Life Insurance
•Flexible working arrangements and schedule
•Friday afternoon off
•EY Tech MBA and EY MSc in Business Analytics
•EY Badges digital learning certificates
•Mobility programs for employees interested in working abroad
•Paid Sick Leave and Paid Paternity Leave
•Yearly wellbeing days off
•Maternity, Wedding, and New Baby Gifts
•Employee Assistance Program providing counselling and legal and financial consultations
