Advisory Services Consultant - AI/ML Engineer
Primary location: Noida, India
INR 3242K-5572K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI with security privacy explainability bias mitigation
- Build agent prompt driven systems
- Build retrieval-augmented generation pipelines
- Collaborate with product managers, designers, and engineers
- Contribute to architecture decisions reusable frameworks and technical standards
- Deploy applications using CI/CD pipelines
- Deploy operate applications on cloud platforms
- Design and implement LLM-based workflows
- Design build and maintain enterprise applications
- Develop backend services and APIs
- Ensure performance, reliability, security, and maintainability
- Evaluate models tune prompts and run experiments
- Handle PHI and PII securely and comply with regulations
- Implement LLM Ops best practices
- Integrate AI models using APIs and SDKs
- Mentor junior engineers and promote best practices
- Monitor application and AI system performance reliability and cost
- Translate functional requirements into AI components
- Troubleshoot production issues
- Write testable documented code and perform code reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent workflows | Angular | Azure | CI/CD | Cloud platform | Docker | Google Cloud | Google Cloud Platform | GraphQL | JavaScript | Kubernetes | LLMOps | Language Models | Large Language Models | Node.js | Observability | OpenTelemetry | PHI/PII | PHI/PII handling | PII handling | PostgreSQL | Prompt engineering | PyTorch | Python | REST | REST APIs | React | Retrieval-Augmented Generation | SQL | Scikit-learn | Security Compliance | TensorFlow | Terraform | Vector Databases
Education
N/A
Roles
AI | AI/ML Engineer | Developer | Engineer | Full Stack | Full Stack Developer | ML Engineer | Software Engineer | Stack Developer
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