AI Engineer - Software
USD 99K-176K (estimate) Mid-level Full Time
Tasks
- Build end-to-end machine learning pipelines
- Build retrieval-augmented generation pipelines
- Collect clean transform and structure complex datasets
- Conduct exploratory data analysis
- Create AI agents for autonomous decision making
- Design machine learning models
- Develop automation for data processing workflows
- Develop proofs of concept for emerging AI technologies
- Document technical designs research findings and model performance
- Evaluate agent performance and iterate
- Integrate agents with internal systems APIs and knowledge bases
- Perform data ingestion preprocessing feature engineering training evaluation and monitoring
- Prototype AI solutions using large language models
- Train, validate, and deploy machine learning models
- Translate business needs into AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Amazon Web Services | Azure | CI/CD | Cloud platform | Containerization | Distributed Computing | Docker | ETL | Feature Stores | GPU Optimization | Generative AI | Google Cloud | Google Cloud Platform | LLM | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Pandas | PyTorch | Python | RAG | SQL | Scikit-learn | TensorFlow | Vector Databases | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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