Job Description: AI/ML Engineer

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. We value your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.

AI/ML Developer - Technology Assurance

As Risk Assurance Staff, you'll contribute technically to Risk Assurance client engagements and internal projects. An important part of your role will be to assist Seniors & Managers while actively participating within the client engagement. You'll anticipate and identify risks within engagements and share any issues with senior members of the team. In line with EY’s commitment to quality, you'll ensure that work is of high quality and is reviewed by the next-level reviewer. As a team member, you'll help create a positive learning culture and assist fellow team members while delivering assignments.

The Opportunity

We're looking for professionals with at least 2 years or more of experience. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment. This is a fantastic opportunity to be part of a leading firm and instrumental in the growth of a new service offering.

Skills and Summary of Accountabilities:

- 2+ years of experience in developing robust AI/ML models to drive valuable insights and enhance decision-making across multiple business lines.

- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.

- Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques.

- Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting, etc.) to complex problems.

- Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform.

- Exposure to client-facing roles and collaborating with cross-functional teams including internal audits, IT security, and business stakeholders to assess control effectiveness and facilitate remediation activities.

- Testing of internal controls such as IT general controls, IT application controls, IPE related controls, interface controls, etc.

- Design IT Risk Controls framework such as IT SOX.

To qualify for the role, you must have:

- At least 2 years of working experience in Large Scale AI/ML models.

- Technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, and comprehensive DevOps services.

- Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI).

- Knowledge of NLP, LLMs (extractive and generative), fine-tuning, and LLM model development.

- Familiarity with higher-level trends in LLMs and open-source platforms.

- Proficiency in AI/ML programming languages like Python, R, SQL.

- Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras.

- Experience implementing monitoring and logging tools to ensure AI model performance and reliability.

- Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.

- Automate tasks through Python scripting, databases, and other advanced technologies like Databricks, Synapse, ML, AI, ADF, etc.

Ideally, you'll also have:

- Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines.

- Relevant certifications are considered a plus.

- Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team.

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.