AI and Machine Learning Engineer
Bengaluru, Karnātaka, India
INR 2500K-4200K (estimate) Mid-level Full Time
Tasks
- Build GenAI applications using LLMs and RAG
- Collaborate with teams to deliver AI solutions
- Deploy code and troubleshoot issues in application modules and deployment environments
- Design AI/ML cloud features
- Design develop execute and automate test cases
- Develop and maintain GenAI cloud application modules with security policies
- Develop data pipelines and AI services APIs
- Develop train evaluate and deploy ML DL models
- Evaluate model and application performance using AI observability tools
- Implement MLOps and LLMOps for deployment and monitoring
Perks/Benefits
- Career growth opportunities
- Health benefits
- Hybrid work arrangement
- Inclusion initiatives
- Professional development programs
Skills/Tech-stack
AWS | Arize Phoenix | Azure | CI/CD | Cloud Computing | Cloud platform | Continuous Deployment | Continuous integration | Data Pipelines | Deep learning | Docker | Google Cloud | Google Cloud Platform | Kubernetes | LLMOps | LLMs | Langchain | Langfuse | Langgraph | Llamaindex | MLOps | MLflow | Machine Learning | Model Monitoring | OpenTelemetry | PGVector | Pinecone | Prompt engineering | PyTorch | Python | Qdrant | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Search | TensorFlow | Vector Databases | Weaviate
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