Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
описание
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.
задачи
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
требования
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
Будет плюсом: 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
условия
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
.svg)
