EY Client Technology-GEN AI Developer Insurance Industry Cloud 

India, Karnataka, Bengaluru 

239231777

Your key responsibilities

• Monitor technology trends and perform R&D activities in AI/ML area.
• Assist in the collection and documentation of users’ requirements, development of user stories, estimates and work plans
• Ensure modern AI/Gen AI best practices are applied
• Develop, validate and deploy AI models.
• Cooperate with architects to design the system
• Establish and maintain development standards/best practices
• Present effects of work to different stakeholders (e.g., demo)
• Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Share the knowledge on the best ML Engineering practices with the team
• Define validation strategies for ML solutions.

Skills and attributes for success

• 7+ years of experience in ML development and MLOps.
• Strong programming skills, with expertise in languages like Python with a good knowledge of ML, Data and API libraries.
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML model and its development.
• Should have knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable AI
• Understanding of some of the popular ML frameworks such as SparkML, Tensorflow, scikit-learn, XGBoost, H2o etc.
• Experience working in a cloud environment (SAP, AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to have knowledge of Insurance Industry and potential GenAI use case in insurance processes

Ideally, you’ll also have

• Expertise in Big Data, Data Modelling
• Experience working with SAP platforms SAP AI Core, SAP Data Intelligence, Embedded Analytics in S/4HANA or SAP Analytics Cloud
• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Defining data augmentation pipelines
• Training models and tuning their hyperparameters

Experience

• Experience in LLM's, LSTM, RNN, Tensorflow, H2O are added advantage
• Experience in deploying AI/ML platforms on Kubernetes and Containerization
• Experience working with large data sets leveraging distributed systems e.g. Spark/Hadoop.
• Experience in managing AI/ML cluster features like API endpoints management, Security, SSO, Auditing, version control, etc

What we look for

• A self-starter, independent-thinker, curious and creative person with ambition and passion

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.