Machine Learning Engineer
Tasks
- Build RAG content recommendation pipeline
- Build data pipelines for model serving
- Design and ship ML APIs
- Implement feature storage and real time personalization
- Improve reliability performance and scalability of ML backend systems
- Incorporate modern LLM techniques and agentic tool calling patterns
- Maintain vector database and data stores for ML workloads
- Train and deploy machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Agentic Workflows | Django | Docker | FastAPI | Feature Stores | Flask | Kubernetes | Language Models | Large Language Models | Machine Learning | Python | Real Time | Real-time Systems | Retrieval-Augmented Generation | Time Systems | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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