AI ML Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build frontend interfaces with AngularJS
- Collaborate to translate business needs into scalable solutions
- Conduct code reviews and enforce engineering best practices
- Create design documentation and architectural diagrams
- Define and execute unit integration performance testing
- Deploy and manage containers with Docker and Kubernetes
- Design and develop AI/ML solutions
- Design and implement secure cloud-native solutions
- Develop backend services with Python frameworks
- Drive AI ML solution lifecycle integration scalability performance maintainability
- Implement automated testing strategies
- Implement infrastructure as code with Terraform
- Implement serverless architectures
- Lead AI ML application architecture
- Lead incident response and production support
- Maintain AI ML compliance with enterprise policies
- Mentor and coach junior engineers
- Modernize systems with microservices migration
- Optimize CI/CD pipelines
- Perform architecture and design decisions
- Perform root cause analysis and resolve complex issues
- Provide technical leadership across teams
Perks/Benefits
- N/A
Skills/Tech-stack
AngularJS | Automated testing | Azure | CI/CD | Cause analysis | Cloud platform | Data Processing | Docker | Event Driven | Event-driven architecture | FastAPI | Flask | GitHub Actions | Google ADK | Google Cloud | Google Cloud Platform | Integration Testing | Kafka | Kubernetes | LLMOps | Langchain | Langgraph | MLOps | Maintainability | Microservices | NLP | Observability | OpenAI | Performance Testing | Python | Real Time | Real-time Data | Real-time Data Processing | Redis | Root Cause Analysis | Root cause | Scalability | Security | Serverless | Terraform | Unit Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Scientist
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