Senior AI/ML Engineer - Technology
Tasks
- Analyze experiment results
- Build RAG-architectures
- Build vector search workflows
- Collaborate with data engineering
- Collaborate with software engineering
- Communicate experiment findings
- Create Python pipelines
- Define hypotheses for experiments
- Deploy machine learning models
- Design AI/ML models
- Develop agentic workflows
- Educate cross functional partners
- Fine-tune foundation models
- Implement LLMOps best practices
- Implement MLOps best practices
- Integrate models into products
- Monitor deployed models
- Optimize model performance
Perks/Benefits
Skills/Tech-stack
CI/CD | Deep learning | Experiment tracking | Fine Tuning | Hugging Face | Hugging Face Transformers | LLMOps | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | OpenAI API | Python | RAG | Retrieval-Augmented Generation | Vector Databases | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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