Data Science - AI ML
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build segmentation targeting and omnichannel analytics
- Create AI and GenAI proof of concepts and reusable accelerators
- Create documentation and stakeholder presentations
- Deliver marketing analytics and ROI analysis
- Develop NLP and generative AI solutions
- Develop forecasting and resource optimization models
- Drive automation using reusable code and scalable workflows
- Ensure quality and meet client SLAs
- Lead analytics projects and manage small analyst teams
- Maintain knowledge repositories and SOPs
- Partner with client teams to scope analytics projects
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Bayesian Models | Campaign Optimization | Chatbots | Classification | Clustering | Convolutional Neural Networks | Customer Segmentation | Databricks | Deep learning | Docker | Document Summarization | Feature Engineering | GCP | Generative AI | Git | Hadoop | Hive | Information Extraction | LLMOps | LSTM | Language Models | Large Language Models | MLOps | Machine Learning | Marketing Mix | Marketing Mix Modeling | Markov Chains | Mix Modeling | Multi-Touch Attribution | Multi-touch) | NLP | Neural Networks | Next Best Action | Omnichannel analytics | Power BI | Prompt engineering | PySpark | Python | Qlik | Question Answering | R | RAG | Recommendation Systems | Recurrent Neural Networks | Regression | Responsible AI | Retrieval-Augmented Generation | SQL | Semantic Search | Spark | Tableau | Time Series | Transfer Learning | Transformer | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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