Senior AI ML Engineer
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Apply model compression and quantization
- Build AI evaluation and benchmarking
- Deploy AI-powered solutions
- Develop LLM-based features
- Implement AI safety guardrails
- Implement RAG workflows
- Implement caching and batching strategies
- Integrate AI APIs into services
- Manage vector search and embeddings
- Optimize latency throughput and token efficiency
- Orchestrate AI tools and agents
- Perform prompt engineering
- Support model fine-tuning
Perks/Benefits
- Career development opportunities
- Comprehensive benefits
- Flexible work arrangements
- Inclusion-focused culture
- Knowledge sharing
Skills/Tech-stack
AI Agents | AWS | Apache Spark | Azure AI | Batching | Benchmarking | CI/CD | Caching | Computer Vision | Deep learning | Docker | Embeddings | Faiss | Fine Tuning | GCP | Guardrails | Hallucination reduction | Kubernetes | Language Models | Language Processing | Large Language Models | Latency optimization | LoRA | Machine Learning | Model Compression | Model Evaluation | Model Fine-tuning | Model Monitoring | NLP | NLU | Natural Language | Natural Language Processing | OpenAI API | PGVector | Pinecone | Prompt engineering | Python | Quantization | Responsible AI | Retrieval-Augmented Generation | Speech Recognition | Supervised Learning | Throughput Optimization | Token optimization | Transformer Models | Unsupervised Learning | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
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