EY Gen AI Developer - TAX National TTT Consulting Pune 

India, Maharashtra, Pune 

595852007

Job Title: Gen AI Developer (Generative AI)

Location: Pune, Mumbai (Hybrid, On site)

Key Responsibilities:

• Design, develop, and deploy advanced Gen AI models to solve complex problems.
• Collaborate with cross-functional teams to integrate AI capabilities into our products and services.
• Stay abreast of the latest AI research and techniques, particularly in the field of generative models, to continually improve our offerings.
• Write clean, maintainable, and efficient code in Python for AI applications.
• Utilize Azure cloud services to build and maintain robust AI solutions that can scale according to business needs.
• Engage with stakeholders to understand business requirements and translate them into technical specifications.
• Conduct code reviews, testing, debugging to ensure high-quality software delivery.
• Document AI development processes, architectures, and models for internal and external stakeholders.

Qualifications:

• Bachelor's or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
• Strong programming skills in Python, with experience in AI and machine learning libraries such as TensorFlow, PyTorch, Keras, etc.
• 3 years of experience in AI development, with a focus on generative models.
• Experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure AI Platform.
• Familiarity with DevOps practices and tools for AI development, including CI/CD, containerization (Docker/Kubernetes), and infrastructure as code.
• Proven ability to design and implement AI solutions that are scalable, reliable, and cost-effective.
• Excellent problem-solving skills and the ability to work in a fast-paced, iterative development environment.
• Strong communication and collaboration skills, with the ability to work effectively in a team and interface with technical and non-technical stakeholders.
• Knowledge of data engineering and architecture principles is a plus.
• Experience with Language models (Small or Large), natural language processing (NLP), or other generative techniques is highly desirable.