Associate Principal - Data Sciences
- 🇮🇳 India
- On-site
- Staff / Principal
- 2 weeks ago
- Azure
- AI/ML
- AWS
- System Design
- AI
- Machine Learning
- Amazon Bedrock
- Azure OpenAI
- Azure AI
- Foundry
- Vector Search
- RAG
- Python
- REST API
- FastAPI
- Flask
- JSON
- Devops
- MLOps
- Docker
- Kubernetes
- Terraform
- Bicep
- CI/CD
- GitHub Actions
- Azure DevOps
- Jenkins
- GitLab
- MLflow
- Azure ML
- CloudWatch
- Azure Monitor
- OpenTelemetry
- AWS IAM
- Secrets Management
- Key Vault
Job Description is
Mandatory Skills
Artificial IntelligenceAWSMicrosoft Azure
Skill to Evaluate
Artificial IntelligenceAWSMicrosoft Azure
Experience
8 to 12 Years
Location
Bengaluru
Job Description
812 years of overall experience in software engineering cloud engineering AIML engineering or related areas
Strong production experience with both AWS and Azure
Strong handson serverless development and architecture experience
Experience delivering productiongrade AIGenAI applications
Experience designing eventdriven and distributed cloud architectures
Strong troubleshooting systemdesign and technical leadership capabilities
AI Generative AI
Amazon Bedrock andor Azure OpenAI
Azure AI Foundry and Azure AI Search
Amazon SageMaker andor Azure Machine Learning
LLMs embeddings vector search RAG prompt engineering and AI agents
Integration of LLM applications with LambdaAzure Functions
Serverless RAG and eventdriven GenAI workflows
LLM evaluation observability guardrails and responsible AI
Programming Development
Strong Python programming skills
Experience developing REST APIs using FastAPI Flask or equivalent
Strong knowledge of JSON REST authentication OAuthOIDC and API integration
Experience with asynchronous programming and distributed systems
Strong understanding of software engineering principles design patterns and clean code
Cloud DevOps MLOps
Strong handson experience with AWS and Azure
Docker and Kubernetes experience
Terraform AWS CDKSAM or Azure Bicep
CICD using GitHub Actions Azure DevOps Jenkins GitLab or equivalent
MLOpsLLMOps using MLflow SageMaker Azure ML or equivalent
Monitoring and observability using CloudWatch Azure Monitor Application Insights OpenTelemetry or equivalent
Security
AWS IAM and Azure RBACEntra ID
Secrets management using AWS Secrets Manager and Azure Key Vault
Encryption at rest and in transit
VPCVNet private endpoints security groups and network isolation
API authentication authorization throttling and secure API design
Understanding of enterprise AI security and data privacy
Associate Principal - Data Sciences · LTM