AI/ML Engineer
USD 133K-188K (estimate) Mid-level Full Time
Tasks
- Build LLM features using RAG and prompts
- Deploy and monitor machine learning models
- Design and optimize data pipelines
- Develop machine learning pipelines
- Implement model retraining and performance tracking
- Participate in code reviews and agile workflows
- Prototype and test machine learning experiments
- Write production code with testing and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Agile Development | Azure | CI/CD | Computer Vision | Containerization | Data Modeling | Data Pipelines | Deep learning | Docker | Feature Engineering | GCP | Git | GitHub | Jira | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Inference | Model Monitoring | Model Training | Natural Language | Natural Language Processing | NoSQL | Prompt engineering | Python | Relational databases | Retrieval-Augmented Generation | SQL | Structured data | Testing | Unstructured Data
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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