IN_Manager_Data Scientist Gen AI_Data & Analytics_Advisory_PAN India
Tasks
- Apply statistical and data mining techniques
- Build generative AI applications in production
- Deploy and optimize AI applications in production
- Design and build analytical machine learning algorithms in Python and R
- Design deep learning and neural network models
- Develop data pipelines and data transformation solutions
- Fine tune pre trained models using PEFT
- Implement LLM Ops and MLOps for scalable development
- Implement RAG with vector databases and LangChain
- Perform text analytics for NLP NLU NLG
- Use agents and frameworks for generative AI applications
Perks/Benefits
Skills/Tech-stack
API | Amazon Web Services | Apache Airflow | Apache Hadoop | Azure Data | Azure Data Factory | CNN | Data Factory | Data Modeling | Data Transformation | Data integration | Data pipeline | Databricks | Deep learning | Fine Tuning | Generative AI | Google Gemini | LLM-Ops | LSTM | Langchain | Langgraph | LoRA | MLOps | Machine Learning | Multimodal AI | NLP | Neural Networks | OpenAI | PEFT | PyTorch | Python | QLoRA | R | RNN | Retrieval-Augmented Generation | SQL | TensorFlow | Text Analytics | Transformers | Vector Databases | Web Services
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