Senior AI Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering
- Build MLops pipelines
- Build agentic frameworks
- Collaborate with teams on ML and AI alignment
- Design and deploy AI solutions
- Develop LLM applications
- Develop scalable AI services and microservices
- Implement fine-tuning
- Implement monitoring and performance tracing
- Implement retrieval-augmented generation
- Manage model tracking and observability
Perks/Benefits
- Certification cost support
- Dynamic career growth
- Informal peer learning sessions
- Innovation time
- Mentorship
- Recognition and rewards
- Snack benefits
Skills/Tech-stack
AI Search | AWS SageMaker | Apache Airflow | Apache Kafka | Azure AI | Azure AI Search | Azure Data | Azure Data Factory | Azure DevOps | Azure Machine Learning | Azure Synapse | Azure Synapse Analytics | CI/CD | ChromaDB | CrewAI | Data Factory | Databricks | Docker | Faiss | FastAPI | Fine Tuning | Flask | GitHub Actions | GitLab CI | GitLab CI/CD | Google ADK | Google Vertex | Google Vertex AI | Jenkins | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Milvus | Model Tracking | Node.js | Observability | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Serverless | Synapse Analytics | TensorFlow | Vector Databases | Vertex AI
Education
N/A
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