Senior AI/ML Engineer - Technology
Tasks
- Analyze model results
- Build RAG-architectures
- Collaborate with software and data engineering
- Deploy ML models to production
- Design AI/ML models
- Educate cross functional partners
- Fine-tune LLMs
- Implement MLOps workflows
- Integrate genAI into products
- Lead experimentation
- Monitor deployed models
- Optimize model deployment
- Serve as LLM SME
- Stay current with AI methods
- Write production Python code
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | CI/CD | Deep learning | Experiment tracking | Huggingface | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | OpenAI APIs | Python | RAG | Retrieval-Augmented Generation | Transformers | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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