EY DE - Cloud AI Engineer F02 

India, Uttar Pradesh 

835019924

Your key responsibilities

• AI/ML Model Development
  • Develop and train machine learning models using frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn.
  • Leverage large language models (LLMs) and work on cloud LLM deployments.
  • Build AI agents and have a solid understanding of agentic frameworks.
  • Implement and fine-tune AI models for various business applications.
• AI/ML Deployment and Optimization
  • Deploy machine learning models on cloud platforms (e.g., AWS, Azure, GCP).
  • Optimize AI pipelines for both real-time and batch processing.
  • Understand concepts around model fine-tuning, distillation, and optimization.
  • Monitor and maintain the performance of deployed models, ensuring they meet business requirements.
• Cloud Integration
  • Integrate AI/ML models with existing cloud infrastructure.
  • Utilize cloud services (e.g., AWS SageMaker, Azure AI, GCP AI Hub) to manage AI workloads.
  • Ensure compliance with data privacy and security standards.
• Collaboration and Support
  • Work closely with the AI Architect to design scalable AI solutions.
  • Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
  • Provide technical support and troubleshooting for AI-related issues.
• Continuous Learning and Innovation
  • Stay updated on the latest advancements in AI/ML technologies.
  • Experiment with new AI tools and frameworks to enhance existing solutions.
  • Contribute to the adoption of best practices for AI model lifecycle management.

Skills and attributes for success

• Proficiency in AI/ML frameworks such as Autogen, PydanticAI, Langchain, TensorFlow, PyTorch, Scikit-learn.
• Experience with cloud platforms: AWS, Azure, GCP.
• Understanding of data engineering, ETL pipelines, and big data tools (e.g., Apache Spark, Hadoop).
• Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of DevOps practices for AI/ML (MLOps).
• Strong understanding of deep learning models, including DNN, LSTM, Transformers, RL, and GNN.
• Experience with Generative AI technologies, including LLMs, model fine-tuning, distillation, and optimization.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.
• Ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus.
• Experience : At least 5+ years in AI-related roles
• Proven experience in developing and deploying AI solutions with Python, JavaScript
• Strong background in machine learning, deep learning, and data modelling.
• Experience in integrating AI models with cloud infrastructure.
• Agile Methodologies : Familiarity with Agile development practices and methodologies.

Education:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.

What we offer
EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning : You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.