GCR Others - AI Engineer - Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

The opportunity
Seize the chance to be at the vanguard of artificial intelligence as an AI Engineer within our Genesis – AI Enabled Delivery Center of Excellence. Your mission is to forge groundbreaking AI solutions that elevate our Tax practice and resonate with our core mission of Building a better working world. Your expertise will unlock the immense power of data, translating it into actionable insights and driving innovation that underpins sustainable growth and equitable advancement for both our clients and the wider community. In this role, you have the unique opportunity to make an indelible mark on society by developing ethical AI applications that reinforce trust and assurance in the digital era.

Your key responsibilities

• Design, Develop, and Deploy AI Models and Systems: Collaborate with cross-functional teams to understand requirements and develop AI solutions that align with business objectives.
• Data Analysis, Pre-processing, and Feature Engineering: Conduct data analysis, pre-processing, and feature engineering to ensure high-quality input for AI algorithms.
• Train, Evaluate, and Optimize AI Models: Train, evaluate, and optimize AI models using various machine learning algorithms and techniques.
• Implementation of Scalable and Efficient AI Solutions: Implement scalable and efficient AI solutions in production environments, considering factors such as performance, latency, and reliability.
• Collaboration with AI and Software Engineers: Collaborate with Data Scientists and Software Engineers to integrate AI models into production systems and monitor their performance.
• Continuous Improvement and Innovation: Stay up to date with the latest AI research, developments, and emerging technologies to drive continuous improvement and innovation.
• Analysis and Interpretation of AI Model Outputs: Analyse and interpret AI model outputs, providing insights and recommendations to stakeholders.

Skills and attributes for success

• In this pivotal role, your skills and experience will not only drive the integration of advanced AI solutions but also shape the future of data-driven innovation. Your technical prowess, strategic thinking, and collaborative spirit will be instrumental in propelling our Tax practice to new heights.

To qualify for the role you must have: 

• A deep understanding of AI and machine learning algorithms, including experience with regression, classification, clustering, and deep learning.
• Proficiency in Python for AI model development, along with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Familiarity with cloud platforms, preferably Azure, to deploy scalable AI solutions, and knowledge of distributed computing frameworks like Spark.
• A strong foundation in software engineering practices, including version control with Git, testing, documentation, and code review.
• Understanding of NLP techniques and frameworks such as Hugging Face's Transformers, BERT, GPT, or Transformer models, TensorFlow's NLP library, or spaCy for language-related AI applications

Ideally, you will also have: 

• Experience with natural language processing (NLP) techniques and frameworks, and generative AI techniques, including prompt engineering and fine-tuning LLMs.
• Proficiency in data pre-processing, visualization, SQL, and big data technologies. Strong skills in Python for AI model development and implementation
• Knowledge of containerization tools like Docker and an understanding of responsible AI practices and data privacy.
• Generative AI Techniques: Knowledge and experience in Generative AI techniques, prompt engineering, vector database, LLMs such as OpenAI, Azure OpenAI, Open-source LLMs.
• Fine-tuning: Collaborate with the research and development teams to fine-tune large language models using prompts, ensuring the models produce accurate, contextually relevant, and safe responses.
• Model Evaluation and Optimization: Experience with model evaluation, hyperparameter tuning, and optimization techniques.
• Data Pre-processing and Visualization: Solid understanding of techniques for data pre-processing, feature engineering, and data visualization.
• Cloud Platforms: Familiarity with cloud platforms like AWS, Azure, or GCP for scalable AI solutions. (Azure preferred)
• Distributed Computing: Knowledge of distributed computing frameworks, particularly Spark, for large-scale data processing.
• Version Control Systems: Proficient in using version control systems like Git for collaborative AI development.
• Troubleshooting and Debugging: Ability to troubleshoot and debug complex AI systems and models.
• Containerization: Knowledge of containerization tools like Docker for efficient deployment of AI solutions.
• Software Engineering Practices: Familiarity with software engineering practices, including testing, documentation, and code review.

What we look for: 

• We seek individuals who are not only technically skilled but also possess a relentless drive for excellence and innovation. 
• Analytical thinkers who can tackle complex problems with AI-driven solutions. 
• Excellent communicators, capable of articulating intricate AI concepts to diverse audiences. 
• Professionals who can thrive in collaborative environments yet are self-motivated and can independently lead projects to success. 
• Continuous learners who are adaptable and proactive in keeping abreast of the latest AI advancements. 
• Above all, we look for those who are committed to ethical standards and understand the importance of building trust and integrity in every aspect of their work.

What we offer
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• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world 

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.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.