AI Data Automation Specialist

Delhi - India

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

At EY youll 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 were 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/Data Automation Specialist

Job Summary:

The AI/Data Automation Specialist within the EY SAP Enterprise Data Management Initiative run by SAP Platforms & Assets will play a strategic and hands-on role in designing implementing and operationalizing intelligent automation and AI-powered capabilities that enhance EYs SAP BDC data migration initiative. This role is crucial in enabling automation across data ingestion transformation validation reconciliation and governance using modern cloud-native technologies (SAP Databricks Snowflake Microsoft NVIDIA) integrated with SAP systems.

The ideal candidate combines advanced data science expertise deep familiarity with cloud-based AI/ML services and hands-on automation delivery experience to scale data quality and decision intelligence in complex SAP transformation programs.

Essential Functions of the Job:

Lead design and development of AI/ML models for data profiling anomaly detection automated classification NLP-based rule parsing and predictive analytics on SAP and cloud-sourced datasets.
Automate rule-based and intelligent data cleansing matching and enrichment activities across master and transactional data domains.
Develop cognitive agents or bots for intelligent data extraction from unstructured and semi-structured sources (e.g. PDFs scanned documents Excel forms).
Collaborate with SAP BDC engineers MDM specialists and data platform teams to embed intelligent automation into end-to-end data migration pipelines.
Integrate AI/ML pipelines using cloud-native services (Azure ML AWS SageMaker Vertex AI Nvidia AI) with ETL/ELT orchestration workflows (Databricks ADF Glue or Airflow).
Continuously monitor retrain and enhance deployed ML models using MLOps best practices.
Assist with data labeling synthetic data generation and transfer learning for complex data scenarios.
Document solution designs maintain model explainability artifacts and ensure AI solutions are auditable and ethically aligned.
Evangelize the use of AI/automation across the BDC data lifecycle and provide mentoring to other team members.

Knowledge and Skills Requirements:

Strong programming and modeling skills using Python PySpark R SQL and relevant ML libraries (scikit-learn TensorFlow XGBoost Transformers).
Experience building and operationalizing AI/ML models in cloud environments (SAP Databricks Microsoft).
Expertise in data wrangling feature engineering and large-scale data processing frameworks (Spark Pandas Dask).
Working knowledge of OCR/NLP techniques including use of Tesseract Azure Form Recognizer or Amazon Textract.
Proficiency in developing reusable automation scripts and agents using APIs Python automation frameworks or RPA platforms (e.g. Power Automate UiPath).
Familiarity with SAP master data and transactional structures to support intelligent mapping and transformation.
Knowledge of MLOps tools and platforms (MLflow Kubeflow Seldon Azure ML pipelines).
Understanding of model bias fairness and ethical AI considerations.
Excellent communication and stakeholder management skills; ability to translate AI outcomes into business language.

Other Requirements:

Experience working in Agile data teams and across hybrid cloud/on-premise architectures.
Strong documentation discipline and ability to communicate technical results to non-technical audiences.
Experience in integrating AI automation into SAP data migration BDC tools or MDM pipelines is a strong advantage.
Ability to drive innovation and continuously evaluate emerging AI technologies for applicability in enterprise data transformation.

Job Requirements:

Education:

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or related field. A PhD is a plus.

Certifications (preferred):

SAP AI / BDC / BTP certifications
Databricks Certified ML Professional
Microsoft Azure AI Engineer Associate

Experience:

Minimum 610 years in data science automation or AI/ML engineering roles with at least 23 years working on enterprise data platforms or SAP data transformations.

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.

Required Experience:

AI/Data Automation Specialist

Job Summary:

Essential Functions of the Job:

Lead design and development of AI/ML models for data profiling anomaly detection automated classification NLP-based rule parsing and predictive analytics on SAP and cloud-sourced datasets.
Automate rule-based and intelligent data cleansing matching and enrichment activities across master and transactional data domains.
Develop cognitive agents or bots for intelligent data extraction from unstructured and semi-structured sources (e.g. PDFs scanned documents Excel forms).
Collaborate with SAP BDC engineers MDM specialists and data platform teams to embed intelligent automation into end-to-end data migration pipelines.
Integrate AI/ML pipelines using cloud-native services (Azure ML AWS SageMaker Vertex AI Nvidia AI) with ETL/ELT orchestration workflows (Databricks ADF Glue or Airflow).
Continuously monitor retrain and enhance deployed ML models using MLOps best practices.
Assist with data labeling synthetic data generation and transfer learning for complex data scenarios.
Document solution designs maintain model explainability artifacts and ensure AI solutions are auditable and ethically aligned.
Evangelize the use of AI/automation across the BDC data lifecycle and provide mentoring to other team members.

Knowledge and Skills Requirements:

Strong programming and modeling skills using Python PySpark R SQL and relevant ML libraries (scikit-learn TensorFlow XGBoost Transformers).
Experience building and operationalizing AI/ML models in cloud environments (SAP Databricks Microsoft).
Expertise in data wrangling feature engineering and large-scale data processing frameworks (Spark Pandas Dask).
Working knowledge of OCR/NLP techniques including use of Tesseract Azure Form Recognizer or Amazon Textract.
Proficiency in developing reusable automation scripts and agents using APIs Python automation frameworks or RPA platforms (e.g. Power Automate UiPath).
Familiarity with SAP master data and transactional structures to support intelligent mapping and transformation.
Knowledge of MLOps tools and platforms (MLflow Kubeflow Seldon Azure ML pipelines).
Understanding of model bias fairness and ethical AI considerations.
Excellent communication and stakeholder management skills; ability to translate AI outcomes into business language.

Other Requirements:

Experience working in Agile data teams and across hybrid cloud/on-premise architectures.
Strong documentation discipline and ability to communicate technical results to non-technical audiences.
Experience in integrating AI automation into SAP data migration BDC tools or MDM pipelines is a strong advantage.
Ability to drive innovation and continuously evaluate emerging AI technologies for applicability in enterprise data transformation.

Job Requirements:

Education:

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Engineering or related field. A PhD is a plus.

Certifications (preferred):

SAP AI / BDC / BTP certifications
Databricks Certified ML Professional
Microsoft Azure AI Engineer Associate

Experience:

Minimum 610 years in data science automation or AI/ML engineering roles with at least 23 years working on enterprise data platforms or SAP data transformations.

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.

Required Experience:

Key Skills

Controlling Experience
Distributed Control Systems
Pardot
Crystal Reports
Marketing Automation
Salesforce Marketing Cloud
Warehouse Management
HubSpot
Responsys
Email Marketing
Leadership Experience
Programmable Logic Controllers

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About Company

EY Studio+ Nederland

Bij EY Studio+ creëren we transformatieve ervaringen die mensen in beweging brengen en markten vormgeven. We combineren design, technologie en commercieel inzicht, aangevuld met EY.ai, een verenigend platform en aangedreven door ons volledige spectrum van diensten.

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