Senior Consultant - Forensics - National - ASU - Forensics - Discovery - Hyderabad
EY
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 don't 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 we'll 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
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
With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities.
EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in building a better working world. Apply now.