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AI Native Engineering - SAP

AI Native Engineering - SAP

4 - 9 years

12 - 16 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

ai kubernetes mlops python sap data pipelines version control auditing user stories llm analytics data quality tensorflow automation data modeling spark data cleaning gcp hadoop big data aws ai model programming azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

AI Native Engineering_SAP

EY is a global leader in assurance, tax, transaction, and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, youll work with technologists and business experts, blending EYs deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, youll be at the forefront of integrating emerging technologies from mobile application into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

Your key responsibilities

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.

Establish and maintain development standards/best practices

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

Skills and attributes for success

4+ years of experience in AI development.

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 AI 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)

Experience in Agentic AI developments frameworks , protocols and Agent to agent interoperability.

Interest in understanding functional and industry business challenges.

Ideally, youll also have

Expertise in Big Data, Data Modeling

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

Good to have (additionally)

Experience with IBM services for AI/ML (WatsonX, Assistant, Discovery or other)

What we look for

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

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AI Native Engineering - SAP