Advisory Services Consultant - AI/ML Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI principles
- Collaborate with product managers and designers
- Contribute to architecture decisions and technical standards
- Deploy and operate in cloud using CI CD
- Design and implement LLM-based features
- Design build and maintain enterprise applications
- Develop backend services and APIs
- Ensure performance, reliability, security, and maintainability
- Evaluate prompts and tune models
- Handle PHI PII securely and compliantly
- Implement LLM Ops for RAG and agent deployment
- Integrate AI models using APIs and SDKs
- Mentor junior engineers
- Monitor application and AI system performance reliability and cost
- Translate functional requirements into AI components
- Troubleshoot production issues
- Write testable well documented code and perform code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Amazon Web Services | Angular | Azure | Bias Mitigation | CI/CD | Cloud platform | Data Structures | Design Patterns | Docker | Explainability | Google Cloud | Google Cloud Platform | GraphQL | Infrastructure as Code | JavaScript | Kubernetes | LLM-Ops | Language Models | Large Language Models | NodeJs | Observability | OpenAPI | PostgreSQL | Prompt engineering | PyTorch | Python | REST | React | Retrieval-Augmented Generation | Scikit-learn | Security | Software Design | Software Design Patterns | TensorFlow | Terraform | Testing | Vector Databases | Web Services | “as-code”
Education
N/A
Roles
AI | AI/ML Engineer | Developer | Engineer | Full Stack | Full Stack Developer | Learning Engineer | ML Engineer | Machine Learning Engineer | Stack Developer
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