Lead Consultant - Ai Application Engineering

AstraZeneca

Bangalore, India
Full-stack delivery of ai-enabled products
Machine learning pipelines operationalization
Generative ai integration
Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences

Job Summary

  • Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences.
  • Partner with data scientists, product managers, and domain experts to frame problems, test hypotheses, and iterate quickly from prototype to production.
  • You will work with advanced platforms, real-world data, and ambitious collaborators to deliver AI capabilities that tangibly speed research, sharpen decision-making, and expand access for patients.

Matching Summary

Lead full-stack delivery of AI-enabled products from architecture to production, applying modern engineering practices to unlock data, automate decisions, and create seamless user experiences.

Skills & Requirements

Must-have

  • Full-stack delivery of AI-enabled products
  • Machine learning pipelines operationalization
  • Generative AI integration
  • Scalable systems design
  • DevOps practices and CI/CD
  • Cloud platforms (AWS, Azure, GCP)

Nice-to-have

  • Enterprise-level integrations
  • Data visualization tools
  • Culture of curiosity and perseverance

Key Requirements

  • Bachelor’s or Master’s degree
  • Proven Full Stack Developer experience
  • Python, JavaScript, or Node.js proficiency
  • Frontend framework experience
  • Backend technologies experience
  • Machine learning frameworks expertise
  • Generative AI models experience
  • Cloud platform experience
  • Database knowledge
  • DevOps practices and tools experience
  • Microservices architectures knowledge
  • Git version control familiarity

Work Rights

Not specified

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