Sr AI/ML Engineer
USD 102K-179K Senior-level Full Time
Tasks
- Architect CI CD pipelines and MLOps workflows
- Build RAG pipelines and vector search architectures
- Create agentic workflows and prompt strategies
- Design production data pipelines with validation lineage and reproducibility
- Design, build, and deploy machine learning models
- Develop LLM-based applications
- Evaluate model and LLM performance with guardrails
- Mentor team members and influence AI governance
- Monitor drift and implement retraining pipelines
- Optimize AI systems for latency cost scalability and reliability
- Own AI ML lifecycle from design to operationalization
- Perform model lifecycle management and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic Workflows | CI/CD | Cloud deployment | Containerization | Cost Optimization | Data Lineage | Data Pipelines | Deep learning | Docker | Drift Detection | Embeddings | Evaluation Methodologies | FastAPI | Guardrails | Human-in-the-loop | Langchain | Language Models | Large Language Models | Latency optimization | Llamaindex | MLOps | MLflow | Machine Learning | Model Monitoring | Model Serving | Prompt engineering | Python | Reproducibility | Retraining Pipelines | Retrieval-Augmented Generation | The Loop | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Senior AI/ML Engineer
Regions
Countries
States
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