Senior Full Stack Engineer
INR 3700K-5000K (estimate) Senior-level Full Time
Tasks
- Build integrate generative AI capabilities using LLMs and RAG
- Build train evaluate and deploy machine learning models
- Collaborate with data engineering teams to ensure data readiness quality and reliability
- Deploy and monitor production grade AI systems
- Develop AI services and applications using APIs and microservices
- Develop agentic AI workflows with tool integrations and human in the loop
- Develop deploy AI ML solutions using AI development lifecycle
- Ensure responsible AI governance security and compliance
- Implement MLOps and LLMOps including experiment tracking and CI CD integration
- Implement data ingestion processing feature engineering and training evaluation pipelines
- Implement deployment automation and operational workflows
- Implement embeddings and vector search and prompt engineering
- Implement logging monitoring tracing and alerting
- Manage model lifecycle including monitoring retraining and version control
- Monitor AI system performance accuracy drift and reliability
- Translate business requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | Azure | Azure ML | CI/CD | Data Preprocessing | Docker | ETL | Embeddings | Experiment tracking | FastAPI | Feature Engineering | Flask | Google Cloud | Kubeflow | Kubernetes | LLMOps | Language Models | Large Language Models | Logging | MLOps | MLflow | Machine Learning | Microservices | Model Evaluation | Model Monitoring | Monitoring | Observability | Prompt engineering | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SQL | SageMaker | Semantic Retrieval | Statistical modeling | TensorFlow | Tracing | Vector Search | Vertex AI
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
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