EY Senior Consultant - Tech Consulting NAT CNS TC AI Engineer 

India, Karnataka, Bengaluru 

992389024

Requisition Id : 1595471

AI Engineer – Insights Engine Invest ProjectExperience:5+ Years Only

Immediate to 15 Days Joiner

Key Responsibilities:

• Demonstrate proficiency in deep learning techniques for Natural Language Processing (NLP) using frameworks such as BERT, GPT, or Transformer models.
• Apply basic understanding of computer vision techniques for image recognition and object detection.
• Conduct data engineering tasks, including data curation, cleaning, and pre-processing large-scale datasets for generative AI applications.
• Integrate backend systems with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to enhance generative AI capabilities.
• Utilize vector databases and NoSQL databases like Elastic Search and Azure Cosmos DB to manage large-scale generative AI datasets and outputs.
• Familiarize with prompt engineering, including prompt templates for Retrieval-Augmented Generation and Context-based Question-Answering.
• Implement NLP concepts such as similarity search algorithms to retrieve relevant information for generative AI context input.
• Leverage Azure Cognitive Services or Azure ML Studio for AI solutions.
• Fine-tune Large Language Models (LLMs) for NLP tasks like Text Classification, Text Summarization, and Question-Answering.
• Utilize LLM-based frameworks within Python, such as LangChain.
• Proficiently program in Python, R, and other relevant frameworks.
• Apply knowledge of Machine Learning frameworks like TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.
• Experience with cloud platforms such as Azure or Google Cloud Platform (GCP) for deploying AI solutions.
• Understand AI evaluation metrics and methodologies to assess the quality and relevance of generative AI outputs.
• Maintain awareness of data privacy, security, and ethical considerations in AI applications.
• Develop and maintain services using Microsoft Power Platform tools, including Power Automate, Copilot Studio, AI Builder, and Dataverse.
• Build Generative AI applications, specifically focusing on Agentic flows, RAG, Agent framework, Azure AI Agent Service, and Semantic Kernel.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in AI/ML fields, particularly in NLP and CV.
• Strong understanding of generative AI concepts and relevant frameworks.
• Proficiency in programming languages such as Python and R.
• Familiarity with cloud platforms and deploying AI solutions in a cloud environment.
• Excellent problem-solving and analytical skills.

Good To Have Skills:

• Knowledge of DevOps and MLOps practices, including continuous integration and deployment of AI models.
• Experience in creating and managing CI/CD pipelines for model deployment and scaling.
• Ability to create REST API endpoints for AI solutions using Python frameworks.
• Familiarity with tools such as Docker, Kubernetes, and Git for managing AI pipelines.
• Knowledge of monitoring and logging frameworks for performance tracking.