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EY

DE, Python, AI, GDS

EY

Python AI Engineer designing advanced AI-driven solutions using Python and AWS at EY. Collaborating internationally on complex, high-impact projects for diverse clients.

Posted 5/8/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSCloudDjangoDockerFlaskKubernetesPostgresPythonSQL

About the role

Key responsibilities & impact
  • Design and implement scalable AI and cloud-based solutions using Python, AWS services, and PostgreSQL.
  • Engage with product owners, business analysts, and global stakeholders to translate requirements into technical solutions.
  • Communicate complex technical concepts clearly to non-technical stakeholders.
  • Lead code reviews, testing strategies, and deployment activities ensuring high-quality delivery.
  • Develop and maintain pharmaceutical forecasting models leveraging analytics, historical data, and cross-functional inputs.
  • Collaborate with global teams to deliver insights, analytical presentations, and decision-support materials.
  • Perform business analysis, modeling, and automation using SQL, and Python.
  • Provide strategic guidance on assumptions, risks, and optimization opportunities in forecasting and AI workflows.

Requirements

What you’ll need
  • Bachelor’s or master’s degree in computer science, Engineering, or related field.
  • 4+ years of experience in Python application development (FastAPI or Django or Flask).
  • Hands-on experience with AWS application design and deployment.
  • Experience with AI governance, guardrails, and internal AI tools.
  • Knowledge of AI development of lifecycle practices and AI agent tool design.
  • Strong understanding of database design and optimization.
  • Strong decision-making and analytical skills.
  • Experience with Docker or Kubernetes (Good to Have).
  • Familiarity with Agile methodologies (Good to Have).

Benefits

Comp & perks
  • Work on cutting-edge AI, integration, and automation projects.
  • Collaborative and innovative global work environment.
  • Opportunities for continuous learning, certifications, and leadership exposure.

ATS Keywords

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Hard Skills & Tools
PythonAWSPostgreSQLSQLFastAPIDjangoFlaskDockerKubernetesAI development lifecycle
Soft Skills
communicationleadershipdecision-makinganalytical skills
Certifications
Bachelor's degreeMaster's degree