EY Consultant - Forensics National ASU 

India, Telangana, Hyderabad 

389188222

Requisition Id : 1561748

Your key responsibilities

Technical Excellence

Job Title: AI Engineer - Document Intelligence with Big Data Expertise

Position Type: Full-time

Job Summary:

As an AI Engineer with a specialization in Document Intelligence and Big Data, you will be at the forefront of designing and implementing AI solutions that leverage large-scale data processing technologies. Your role will involve integrating document and image analysis with big data ecosystems to derive insights from vast amounts of structured and unstructured data.

Key Responsibilities:

- Implement NLP and computer vision algorithms to analyze and interpret complex documents and images within large datasets.

- Utilize big data technologies such as Hadoop, Spark, and Hive to store, process, and analyze document-related data efficiently.

- Work with OCR and image processing tools to convert documents into analyzable data, enhancing accuracy with big data processing techniques.

- Establish and maintain a robust MLOps framework to manage the lifecycle of AI models within a big data environment.

- Monitor and optimize the performance of AI systems, ensuring they meet the scalability and reliability requirements of big data applications.

- Engage with stakeholders to gather requirements and deliver AI solutions that provide actionable insights from document data at scale.

- Document and share knowledge on big data technologies and AI model development within the organization.

Qualifications:

- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning.

- Proven experience with AI, machine learning, image processing, NLP, and big data technologies.

- Proficiency in programming languages such as Python, Java, Scala, or similar.

- Strong understanding of big data ecosystems, including HDFS, Hive, and Spark.

- Knowledge of OCR technologies and their application in big data contexts.

- Familiarity with MLOps and AI Ops practices, particularly in big data environments.

- Excellent analytical and problem-solving skills, with a track record of working on complex data-driven projects.

Preferred Skills:

- Experience with cloud-based big data services

- Proficiency with data warehousing solutions and SQL-based query engines (e.g., Hive, Presto).

- Knowledge of containerization (Docker), orchestration (Kubernetes), and microservices architecture.

- Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and infrastructure as code (e.g., Terraform, Ansible).

Work Experience: Minimum 3yrs in AI/ML

Target Oriented

Skills and attributes

To qualify for the role you must have
Qualification

· Prior experience in a Transformation projects in banking domain is a great plus with Business requirements gathering, stakeholder’s management & strong presentation skills.

· Traceability of business requirements into solution design to confirm linkage of business

· 3+ Years

Job Title: AI Engineer - Document Intelligence with Big Data Expertise

Position Type: Full-time

Job Summary:

As an AI Engineer with a specialization in Document Intelligence and Big Data, you will be at the forefront of designing and implementing AI solutions that leverage large-scale data processing technologies. Your role will involve integrating document and image analysis with big data ecosystems to derive insights from vast amounts of structured and unstructured data.

Key Responsibilities:

- Implement NLP and computer vision algorithms to analyze and interpret complex documents and images within large datasets.

- Utilize big data technologies such as Hadoop, Spark, and Hive to store, process, and analyze document-related data efficiently.

- Work with OCR and image processing tools to convert documents into analyzable data, enhancing accuracy with big data processing techniques.

- Establish and maintain a robust MLOps framework to manage the lifecycle of AI models within a big data environment.

- Monitor and optimize the performance of AI systems, ensuring they meet the scalability and reliability requirements of big data applications.

- Engage with stakeholders to gather requirements and deliver AI solutions that provide actionable insights from document data at scale.

- Document and share knowledge on big data technologies and AI model development within the organization.

Qualifications:

- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning.

- Proven experience with AI, machine learning, image processing, NLP, and big data technologies.

- Proficiency in programming languages such as Python, Java, Scala, or similar.

- Strong understanding of big data ecosystems, including HDFS, Hive, and Spark.

- Knowledge of OCR technologies and their application in big data contexts.

- Familiarity with MLOps and AI Ops practices, particularly in big data environments.

- Excellent analytical and problem-solving skills, with a track record of working on complex data-driven projects.

Preferred Skills:

- Experience with cloud-based big data services

- Proficiency with data warehousing solutions and SQL-based query engines (e.g., Hive, Presto).

- Knowledge of containerization (Docker), orchestration (Kubernetes), and microservices architecture.

- Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and infrastructure as code (e.g., Terraform, Ansible).

Work Experience: Minimum 3yrs in AI/ML

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach.

What we offer

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.