Consultant-1
INR 1500K-3000K (estimate) Mid-level Full Time
Tasks
- Build CI/CD pipelines for ML workflows
- Build production-grade AI/ML systems
- Containerize applications with Docker
- Create model APIs
- Deploy services to Kubernetes
- Deploy solutions on Microsoft Azure
- Design evaluation and monitoring strategies
- Develop scalable python applications
- Implement DevOps/MLOps/LLMOps best practices
- Implement retrieval-augmented generation
- Monitor model performance and troubleshoot incidents
- Perform data discovery and feature engineering
- Train and fine tune ML and LLM models
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | CI/CD | Deep learning | Docker | Docker Compose | FastAPI | Feature Engineering | Flask | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | LightGBM | MLOps | Machine Learning | Natural Language | Natural Language Processing | Pandas | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | XGBoost
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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