Applied AI ML Associate Senior
INR 2000K-4000K (estimate) Mid-level Full Time
Tasks
- Apply deep learning techniques for semantic search named entity resolution forecasting and anomaly detection
- Build agent evaluation with offline test suites golden datasets regression tests latency and cost tracking and human in the loop review
- Design develop and deploy AI and GenAI solutions
- Develop end to end ML pipelines and implement Retrieval Augmented Generation for LLMs
- Implement multi agent AI with prompt tool orchestration retrieval memory guardrails and conversation state
- Own end to end engineering deliverables from requirements design implementation testing release and post release support
- Perform machine learning optimization and serve as ML subject matter expert
- Run large scale data modeling experiments and extract statistical insights and causal relations
- Use prompt engineering to fine tune and optimize LLMs for specific use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Anomaly Detection | Attention | BERT | CNN | Cloud Machine Learning | Conversation State Management | Conversation state | Data Pipelines | Deep learning | Entity recognition | Evaluation | Guardrails | Human-in-the-loop | Knowledge graphs | LLM | LSTM | Langgraph | Language Processing | Machine Learning | Memory Strategies | Multi-Agent | Multi-Agent Systems | Named Entity Recognition | Natural Language | Natural Language Processing | Prompt Tool Orchestration | Prompt engineering | PySpark | PyTorch | Python | RNN | Regression testing | Retrieval | Retrieval-Augmented Generation | Semantic Search | Sentence-BERT | Series forecasting | State management | TensorFlow | The Loop | Time Series | Time Series Forecasting | Tool orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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