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forecasting deep learning machine learning prompt engineering mlops📋 Description
- Lead research, design, and implement ML, DL, and timeseries models for planning
- Architect GenAI solutions using transformer-based LLMs for enterprise tasks
- Design and integrate Conversational AI and autonomous AI workflows
- Bridge AI models from prototype to scalable production with MLOps
- Collaborate with Engineering, Product, and Design to deliver AI features
- Mentor teams and drive technical excellence and rigorous testing
🎯 Requirements
- Advanced modeling, predictive analytics, and timeseries forecasting
- Transformer architectures, prompt engineering, conversational AI
- Fine-tuning LLMs (LoRA/QLoRA/RLHF) for domain apps
- From concept to production using MLOps and LLMOps
- Python proficiency with CI/CD, testing, and code reviews
- Experience with scalable cloud infra (AWS/GCP/Azure)
- Familiarity with enterprise planning platforms (e.g., Anaplan)
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