FS - RC - MS EY Comply And RVS - AI Engineer - Staff

At EY, you’ll 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 we’re 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.

Position: Staff - AI Engineer

Job Summary:

As an AI Engineer, you will be responsible for designing, developing, and implementing AI models and algorithms that solve complex problems and enhance our products and services. You will work closely with software engineers, business users and product managers to create intelligent systems that leverage machine learning and artificial intelligence.

Responsibilities:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Proficiency in Generative AI: Strong understanding of GPT architecture, prompt engineering, embeddings , efficient token usage and agentic AI solutions (example async, batching, caching, piping solutions etc ).
• Hands-on Experience with Model Training: Demonstrated ability to train and fine-tune AI/ML models, particularly in natural language processing (NLP).
• Expertise in Deep Learning Frameworks: Familiarity with popular deep learning libraries such as TensorFlow, PyTorch, or similar tools.
• NLP Techniques: Experience with various NLP techniques, namely using AI to extract the contents from unstructured complex PDF documents.
• Knowledge of deep learning techniques and neural networks.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.
  
  

Skills requirement:

• 2-3 years of hands on experience developing AI solutions.
• Strong programming skills in languages such as Python.
• Strong experience with SQL, RESTful API, JSON
• Experience with Azure Cloud resources is preferable.
• Familiarity with DevOps practices and tools.
• Exposure to any noSQL Databases (MongoDB, Cosmos DB and etc) is a plus
  
  

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