Client Technology: SAP AI Developer Neural Network
Bengaluru, KA, IN, 560048
EY
EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.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.
SAP – AI/Gen AI Engineer
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, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll 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 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.
deally, you’ll 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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data Consulting Data pipelines Data quality Distributed Systems Engineering GCP Generative AI Hadoop Kubernetes LLMs LSTM Machine Learning MLOps Pipelines Python RNN Scikit-learn Security Spark SparkML TensorFlow XGBoost
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Manager, Data Engineering jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs