Senior AI ML Engineer
INR 2000K-5000K (estimate) Senior-level Full Time
Tasks
- Apply prompt engineering and fine-tuning
- Build AI API integration services
- Conduct code reviews and technical knowledge sharing
- Deploy machine learning models to production
- Develop LLM based chat and summarization features
- Generate embeddings and perform vector search
- Implement caching and batching for performance
- Implement retrieval-augmented generation workflows
- Improve model reliability and reduce hallucinations
- Orchestrate AI tool agent workflows
- Support benchmarking and evaluation tests
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Flexible work environment
- Inclusion-focused culture
Skills/Tech-stack
AI API | AI API integration | AI Services | API Integration | AWS | Accuracy Improvement | Agent Orchestration | Apache Spark | Attention Mechanism | Azure AI | Azure AI Services | Batching | Benchmarking | CI/CD | Caching | Cloud platform | Data Processing | Deep learning | Distributed Systems | Docker | Embedding Generation | Experimental methodologies | Faiss | Feature Engineering | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | Language Models | Language Processing | Large Language Models | Large Scale Data | Large-scale | Large-scale Data Processing | Latency optimization | Lifecycle Management | LoRA | Model Compression | Model Evaluation | Model Fine-tuning | Model Monitoring | Model Quantization | NLP | Natural Language | Natural Language Processing | Optimization | PGVector | Parameter-efficient Tuning | Pinecone | Probability | Prompt engineering | Python | Retrieval-Augmented Generation | Supervised Learning | Throughput Optimization | Token efficiency | Tool use | Transformer Models | Unsupervised Learning | Vector Databases | Vector Search
Education
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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