Senior Consultant - Forensics - National - ASU - Forensics

Requisition Id : 1561554

As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we dont just focus on who you are now, but who you can become. We believe that it s your career and It s yours to build which means potential here is limitless and well provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.

The opportunity : Senior Consultant-National- Forensics-ASU - Forensics - Discovery - Hyderabad

Your key responsibilities

Technical Excellence

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

Position Type: Full-time

Location: Hyderabad

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:

- Develop and optimize AI models for document classification, text extraction, and image processing, ensuring they are capable of handling big data volumes.

- 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.

- Collaborate with data engineering teams to design and implement scalable data pipelines for real-time and batch processing of documents.

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

- Apply best practices in data governance, ensuring compliance with data privacy and security standards when dealing with sensitive information.

- 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.

- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).

- 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).

- Understanding of data privacy regulations and their implications for big data processing.

Work Experience: Minimum 3yrs in AI/ML

Skills and attributes

To qualify for the role you must have
Qualification

Any Graduate/Post Graduate

Experience

3+ Years

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

Position Type: Full-time

Location: Hyderabad

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:

- Develop and optimize AI models for document classification, text extraction, and image processing, ensuring they are capable of handling big data volumes.

- 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.

- Collaborate with data engineering teams to design and implement scalable data pipelines for real-time and batch processing of documents.

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

- Apply best practices in data governance, ensuring compliance with data privacy and security standards when dealing with sensitive information.

- 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.

- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).

- 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).

- Understanding of data privacy regulations and their implications for big data processing.

Work Experience: Minimum 3yrs in AI/ML