Lead AI Engineer
Bangalore, In, India
INR 3584K-5000K (estimate) Senior-level Full Time
Tasks
- Build and fine tune transformer models for classification extraction summarization and generation
- Build orchestrate and evaluate AI agents with tool use and multi step reasoning
- Define and execute evaluation frameworks for generative AI
- Define technical direction and spearhead MLOps strategy for model deployment monitoring and automated retraining
- Design and implement retrieval-augmented generation pipelines
- Lead deliver machine learning and natural language processing solutions in production
- Leverage large language models for machine learning and data science workflows
- Optimize token usage and context window management
- Own productionization of machine learning and AI systems including serving monitoring and reliability
- Train fine tune and serve embedding models for semantic search
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | BERT | Causal Inference | Continuous Delivery | Continuous integration | Dense retrieval | Embedding Models | GPT | Hugging Face | Hugging Face Transformers | Hybrid search | Langgraph | Language Models | Language Processing | Large Language Models | Latency optimization | Llama | LoRA | Machine Learning | Mistral | Model Monitoring | Model Serving | Model retraining | Natural Language | Natural Language Processing | PEFT | Prompt engineering | PyTorch | QLoRA | Retrieval-Augmented Generation | Semantic Search | Sentence Transformers | Sparse Retrieval | Token optimization | Transformers
Roles
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