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.
Job Description of AI-ML Engineer
Job description
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.
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 Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. In line with EY commitment to quality, you’ll confirm that work is of high quality and is reviewed by the next-level reviewer. As a member of the team, you’ll help to create a positive learning culture and assist fellow team members while delivering an assignment.
The opportunity
We’re looking for professional having 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 whilst being 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 the decision-making process across multiple business lines. Use predictive modelling 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 working in client facing roles, collaborate with cross functional teams including internal audits, IT security and business stakeholders to assess control effectiveness and facilitate remediation activities. Good to have experience in IT Controls, Risk and Compliance. 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, 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. Familiar 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. Implement 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
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