AI-ML Intern

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.

Title - AIML-GenAI Developer - Gig Contract-Consultant

Overall Years of Experience Fresher / upto 1 yr

Relevant Years of Experience Fresher / upto 1 yr

The GenAI, Artificial Intelligence (AI) & Machine Learning (ML) Developer is responsible for implementing solutions based on Gen AI , AI and Machine Learning.

Position Summary

• Design and develop AI and Generative AI based custom solutions for our service delivery teams
• Work with other team members to implement and deploy generative AI systems into production.
• Monitor and manage generative AI systems in production to ensure that they are meeting performance and reliability requirements.
• Develop and implement best practices for building, deploying, and managing generative AI systems.
• Stay up-to-date on the latest research and developments in generative AI and apply new knowledge to our work.
• Collaborate with other engineers, scientists, and product managers to develop and deliver innovative generative AI solutions.
• Define and implement best practises for software development
• Excellent computer skills - proficient in excel, PowerPoint, word and outlook
• Excellent interpersonal skills and a collaborative management style
• Ability to analyse and suggest solutions
• Strong command on verbal and written English language
  
  

Roles and Responsibilities

Essential

• Should have an understanding and experience of Data science and Machine Learning using Python.
• Experience in designing, building, and deploying scalable machine learning models in cloud platforms such as Azure or GCP
• Experience with a variety of generative AI models and techniques.
• Experience with deep learning models such as GANs, diffusion models, and transformers.
• Experience with prompt engineering and machine learning optimization
• Experience with computer vision and natural language processing.
• Experience with reinforcement learning.
• Experience with distributed computing and scalable systems.
• Excellent communication and interpersonal skills.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to work with a multi culture global teams and team virtually
• Should be able to build strong relationship with project stakeholders
  
  

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