Analyst - R01571042

Brillio
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 2-4 yearsEducation: bachelorsSkills: ["Collaboration","Design reviews","Architectural decision-making","Code quality","Observability"]

Build end-to-end full-stack data science applications, spanning frontend, backend, and APIs, and deploy scalable agentic AI solutions using multi-agent systems. Own microservices and event-driven backend architectures, implement cloud-native deployments on Azure/AWS/GCP, and integrate LLM frameworks for adaptive workflows. Drive production-quality engineering with testing, observability, performance, security, and collaborate on AI-driven architecture decisions.

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FursaFursa
Brillio
Brillio
2 days ago

Analyst - R01571042

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Last checked: 1 hour agoStatus: Live

Job Summary

Build end-to-end full-stack data science applications, spanning frontend, backend, and APIs, and deploy scalable agentic AI solutions using multi-agent systems. Own microservices and event-driven backend architectures, implement cloud-native deployments on Azure/AWS/GCP, and integrate LLM frameworks for adaptive workflows. Drive production-quality engineering with testing, observability, performance, security, and collaborate on AI-driven architecture decisions.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop end-to-end full-stack applications across frontend, backend, and APIs.
  • •Build and deploy agentic AI applications using multi-agent systems and autonomous workflows.
  • •Implement scalable backend systems using microservices and event-driven architectures.
  • •Develop and deploy cloud-native solutions on Azure, AWS, and GCP.
  • •Integrate LLM frameworks and orchestration tools (including adaptive workflows) and ensure code quality, testing, debugging, observability, performance, security, and scalability.

Key Requirements

  • •2–4+ years of full-stack data science experience with cloud-native architectures.
  • •Build end-to-end applications across frontend, backend, and APIs.
  • •Develop agentic AI applications using multi-agent systems and autonomous workflows.
  • •Implement scalable backend systems with microservices and event-driven architecture.
  • •Experience with cloud platforms (Azure, AWS, GCP) and production engineering practices (testing, debugging, observability, security, scalability).
Experience:2-4 years
Education:Bachelor's in Computer Science, Artificial Intelligence, Data Science
Skills:CollaborationDesign reviewsArchitectural decision-makingCode qualityObservability
Certifications:AWS Certified Machine Learning SpecialtyAzure AI Engineer AssociateGoogle Cloud Professional Machine Learning EngineerFull Stack Web DevelopmentTensorFlow Developer Certificate
Tech Stack:ReactAngularVueNode.jsJavaSpring BootPythonFastAPIDjangoRESTful APIsMicroservicesAzureAWSGCPDockerKubernetesCI/CDLangChainLlamaIndexSemantic Kernel

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn