Senior AI/ML Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply caching for low latency
- Build and maintain scalable AI services
- Collaborate with product and data teams
- Conduct feature engineering on large scale datasets
- Design build and deploy LLM features
- Develop agentic workflows
- Develop production machine learning models
- Establish guardrails to improve model reliability
- Evaluate monitor performance and retrain models
- Implement optimize RAG pipelines
- Implement vector search with vector databases
- Integrate third-party AI APIs
- Participate in code reviews and design discussions
- Perform prompt engineering and fine-tuning
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Apache Spark | CI/CD | Caching | Deep learning | Distributed Computing | Docker | Feature Engineering | Fine Tuning | Google Vertex | Google Vertex AI | Kubernetes | LLM Framework | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multimodal AI | PGVector | Pinecone | Prompt engineering | PySpark | Python | RAG | Statistical modeling | Supervised Learning | Unsupervised Learning | Vector Databases | Vector Search | Vertex AI
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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